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Welcome to my Portfolio
Work

Professional work created in a collaborative environment, solving real-world problems and delivering impactful design solutions.

Health Insurance project preview
Health Insurance

Reducing drop offs and accelerating policy purchase through better UX

Role: Product Designer
Scope: Discovery " UX " UI " Validation
Platform: Mobile Web + App
Duration: 3 weeks
Car Insurance project preview
Car Insurance buying journey

Designing scalable flows, decision logic, and edge-case handling across purchase and renewal journeys

Role: Experience Designer (Business + UX)
Scope: End-to-end flows
Platform: Mobile, Desktop
Collaboration: PM, Business, Central Design Team
Marketing Creatives project preview
Marketting Creatives

Placeholder for campaign assets, promotional landing pages, and visual creative systems across channels

Life Insurance, Bajaj Finserv project preview
Life Insurance, Bajaj Finserv

Designing journey to buy Life Insurance for the customers

Go Leap project preview
Go Leap

To make discovery experience more immersive

ReFi NFT Dashboard project preview
ReFi NFT Dashboard

Making climate investing accessible, transparent, and on Blockchain with NFTs

Colrows project preview
Colrows

A bright brand and product direction for a more expressive digital experience

How I AI
Isometric Icon Design - ChatGPT
Isometric Icon Design - ChatGPT
Normal People, Normal things. Created with ChatGPT, Gemini, Grok.
Normal People, Normal things. Created with ChatGPT, Gemini, Grok.
Isometric Monuments Created with ChatGPT.
Isometric Monuments Created with ChatGPT.
Brand work. Made with Chat GPT
Brand work. Made with Chat GPT
Designer. Builder.
Lifelong learner.

Design was something that always stayed with me from the childhood. I used to be a coder until 2020. That’s when I decided to switch careers and move into design.

In hindsight, design probably came from my father. He always cared about how things were around him. From how footpaths connect to roads, to how easy an electronic device is to use. He paid attention to all of it.

Being a coder gave me the perspective of how computer works. Design is teraching me how humans work.

After getting a design job, I realised design is also about working with the business. Hitting numbers. Improving metrics. Fixing funnels. Reducing friction. All while still delighting and helping customers. That’s what I focus on now.

I learned design by practicing. By trying new products and apps. But mostly by staying curious.

With the rise of AI, I can now create what’s in my head at the speed of light. Iterate -> Experiment -> Fail -> Iterate again.

Fail fast. Learn fast.

In my free time, I read books, create videos, work on side projects, spend time with friends & family or on my Playstation.

Bajaj Finserv
Bajaj Finserv
Product Designer
2022 - present

As part of Bajaj Finserv Insurance Team, I focused on creating innovative, well-crafted, memorable product experiences for millions of users.

Bottem Funnel: Redesigned cart & payment screens, boosting conversions.

Mid Funnel: Redesigned PDP, PLP & Created Supercards for consistent UX

Membership: Created Gold page with benefits and transaction history.

POS: Updated designs for LK Stores' Point-of-Sale application

Resume

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Rajat Girhotra resume
Contact

Open to product design roles, collaborations, freelance projects, and thoughtful conversations around design, systems, and creative technology.

Based in
Pune, India
Available for remote-friendly opportunities and selected in-person collaborations.
Social links
LinkedIn Behance Dribbble
Best for
Product Design Design Systems 0"1 Concepts AI Interfaces

Health Insurance Experience Redesign

Health Insurance case study hero
Health Insurance

Redesigning the end-to-end health insurance purchase journey to improve conversion, reduce drop-offs, and simplify decision making for users buying policies for themselves and family members.

RoleProduct Designer
Duration3 weeks
PlatformMobile Web + App
ScopeDiscovery " UX " UI " Validation
01 Problem

Where the journey was broken

Confusing member selection
Users struggled with who-to-insure logic; complex family combinations created confusion and dead ends.
Form drop-offs
High abandonment during medical declaration and proposer detail forms due to long, unguided inputs.
Poor plan discovery
Filters and plan comparison lacked clarity, leaving users unable to make confident decisions.
Reactive error handling
Errors surfaced after submission rather than being prevented inline, causing frustration and re-entry.
02 Baseline

Where we started

Key metrics before redesign
18.6%
Conversion rate
27%
Drop-off at member selection
34%
Drop-off at medical declaration
6.8 min
Avg. time to purchase
22%
Error rate in form sessions
9%
Plan comparison usage
03 Goals

What we set out to achieve

01Increase overall conversion by reducing funnel drop-offs at every stage
02Simplify family member selection for varied combination scenarios
03Improve form completion through preventive error handling and inline guidance
04Make plan filtering and comparison intuitive so users find the right plan faster
05Reduce time to purchase by streamlining decision points across the journey
04 Design

Eight areas of redesign

01
Member selection
Converted to modular chips (Self, Spouse, Children, Parents) with real-time logic. Parents requiring a separate policy surfaced via progressive disclosure instead of a dead end.
Reduced confusion at entry point
02
Guided form experience
Inline validation replaced post-submit errors. Contextual hints for age, PIN, and eligibility. Smart defaults and reduced redundant fields including PIN serviceability and age validation.
Lower error loops, faster completion
03
Family complexity handling
Covered real-world scenarios: self + spouse + children, self + parents, parents-only edge cases, and member limits via inline nudges and system-driven constraints instead of silent failures.
Fewer dead ends across combinations
04
Plan discovery & filters
Pre-applied filters based on user input. Structured filters (Cover, Premium, Deductible, Benefits) in a bottom sheet with a clear "Show results" CTA for quick, friction-free filtering.
Better plan exploration and confidence
05
Add-ons & cross-sell
Positioned add-ons as optional upgrades with price tags and benefit summaries. Grouped to reduce clutter and cognitive load at a high-intent moment.
Increased attach rate from 17% " 29%
06
Medical declaration
Binary decision first (Yes/No), expanding only if needed. Checklist-based condition selection reduced the intimidation of a traditionally dense medical form.
Reduced intimidation, faster completion
07
Error handling system
Field-level validation with clear, actionable error messages. Shifted from reactive errors to preventive logic catching issues before they blocked progress.
Improved trust and form clarity
08
Post-purchase experience
Clear confirmation state with cleanly structured policy details. Introduced a feedback capture moment (rating + reasons) to close the loop and feed future improvements.
Better closure and insight loop
05 Impact

Results after redesign

+44%
18.6% " 26.9%
Conversion rate
"48%
27% " 14%
Drop-off at member selection
"44%
34% " 19%
Drop-off at medical declaration
"38%
6.8 " 4.2 min
Time to purchase
"59%
22% " 9%
Error rate in forms
+133%
9% " 21%
Plan comparison usage
+71%
17% " 29%
Add-on attach rate
"
Full funnel
Reduced friction across every stage
06 Reflection

What this project reinforced

Reducing friction across the entire funnel and improving clarity in complex family scenarios led to faster decision making and strong uplift in both conversion and revenue levers.

The biggest lesson: preventive design always outperforms reactive fixes. Catching errors before they happen through smart defaults, inline validation, and progressive disclosure had a compounding effect across every stage of the journey.

Life Insurance, Bajaj Finserv

Life Insurance, Bajaj Finserv case study hero
Life Insurance · Bajaj Finserv

Redesigning the end-to-end life insurance purchase journey from plan discovery to policy issuance with a focus on trust, clarity, and conversion.

RoleLead Product Designer
Duration6 months
PlatformiOS · Android · Web
Team2 Designers · 3 PMs · 8 Devs
01 Problem

A journey full of friction and distrust

Fragmented flow
The purchase journey was split across multiple disconnected screens with no sense of progress or continuity.
Repeated data entry
Users had to re-enter the same information multiple times with no auto-save or session recovery.
Confusing plan comparison
Plans were presented with dense jargon, no clear differentiation, and an overwhelming number of options.
Broken trust signals
Users didn't trust the premium calculator numbers and couldn't find clear exclusion information before purchasing.
02 Research

Where users were getting lost

Key findings from session recordings, exit surveys & 12 user interviews
68%
dropped off at plan selection overwhelmed by jargon and too many options
4.2×
more time on premium calculator than expected users didn't trust the numbers
41%
of returning users couldn't find previously started applications
03 Design

Three principles that guided the work

01
Reduce cognitive load
Progressive disclosure show only what's needed at each step. Complex terms explained inline with plain language so users never feel out of their depth.
Simpler decisions at every stage
02
Build trust through transparency
Live premium calculations, clear exclusion summaries surfaced upfront, and a progress indicator showing exactly where users are in the journey.
Higher confidence before payment
03
Continuity across sessions
Auto-saved application state so users can resume exactly where they left off even when switching devices mid-journey.
Recovered previously lost return users
04 Impact

Results after launch

Shipped to 100% of users in Q3 2023. Significant improvements across all tracked metrics within 8 weeks:

+34%
End-to-end
Funnel completion rate
"28%
Faster purchase
Avg. time to purchase
+19%
Returning users
Return user conversion
4.6"
Out of 5
Post-purchase satisfaction
05 Reflection

What I learned

Insurance is a trust product. Every visual, every label, and every interaction either builds or erodes that trust. The biggest design win wasn't a flashy UI it was the decision to surface exclusions clearly upfront, even if it reduced plan selections short-term. That honesty paid off in satisfaction scores.

I also learned how to work within regulatory constraints without killing the experience. Several UI patterns needed legal sign-off, and getting design-friendly approvals required presenting data alongside mockups in every stakeholder meeting.

Go Leap

Go Leap case study hero
Go Leap · Freelance

Making discovery feel alive by replacing a static catalogue with an immersive, personalised exploration experience that keeps users coming back.

RoleProduct Designer
Duration4 months
PlatformiOS · Android
FocusDiscovery · Exploration UX
01 Problem

A catalogue with no momentum

Static grid layout
Discovery felt like a catalogue cards with no editorial context, no mood, no sense of why something was worth exploring.
No forward momentum
The grid required active effort to browse. Users had to decide what to tap rather than being pulled forward by the experience.
Single-session drop-off
Users browsed once and left. D7 retention was the critical metric the product wasn't building a habit.
No personalisation
Content was identical for every user. No signals were captured to improve relevance or surface content worth returning for.
02 Baseline

Where we started

Key metrics before redesign
22%
D7 retention users not returning after first session
55%
of users said the grid felt "too much work to browse"
4.2
avg. items explored per session before drop-off
03 Goals

What we set out to achieve

01Increase D7 retention by making the experience feel worth returning to
02Replace passive browsing with a forward-moving discovery flow
03Add editorial context so users understand why content is relevant to them
04Build lightweight personalisation that improves without requiring sign-up
04 Design

An experience that moves with you

01
Full-bleed editorial cards
Replaced the compact grid with large immersive cards and a mood line a single sentence that frames why you'd want this. Context drives curiosity and intent.
Higher intent-to-explore per card
02
Momentum scroll
Vertical story-style layout with predictive preloading. The next card is always ready no loading states, no friction between moments of discovery.
Seamless continuous browsing
03
Interest fingerprinting
Swipe signals (pause time, tap depth, direction) train a lightweight local model no account required to start getting personalised results.
Personalisation without sign-up friction
04
Category context layer
Subtle category tags and mood indicators helped users mentally organise what they were exploring, reducing the cognitive load of open-ended browsing.
3× more wishlist saves per session
05 Impact

Moving the needle on exploration

Launched in beta to 20% of users. Early signals were strong enough to roll out to 100% within three weeks.

+61%
After redesign
D7 retention
+44%
Per session
Items explored
-38%
Discovery page
Bounce rate
+27%
Per session
Wishlist saves
06 Reflection

What I learned

The line between discovery and overwhelm is thin. Our first iteration went too immersive with fullscreen takeovers and autoplay. It felt exciting in demos but exhausting in real use. Pulling back to a controlled vertical flow with opt-in depth was the right call.

Good discovery design is invisible. When it works, users don't say "great UX"; they just say "I found something amazing." That's the goal.

Car Insurance buying journey

Motor Insurance case study hero
Car Insurance · Bajaj Finserv

Designing a scalable end-to-end motor insurance journey covering purchase, renewal, and servicing by translating complex business logic into structured, production-ready flows.

RoleExperience Designer (Business + UX)
ScopeEnd-to-end flows
PlatformMobile · Desktop
CollaborationPM · Business · Design Team
01 Problem

Where users were getting stuck

Multiple user states
Users entering via new purchase, renewal, or expired policy were forced into nearly identical flows causing confusion and drop-offs early.
Late error detection
Critical issues like incorrect vehicle type were only caught deep in the journey, after significant user effort had already been invested.
Form fatigue
Long, unstructured forms with no inline guidance led to 3545% drop-offs during quote and data-capture stages.
Decision overload
IDV, NCB, and add-on decisions were presented without context, leaving users uncertain and slowing the journey to a halt.
02 My Role

Bridging business logic and user experience

01Defined end-to-end experience flows and decision trees with conditional logic for all entry states
02Identified and designed recovery paths for edge cases expired policies, KYC failures, invalid inputs
03Collaborated with PMs, business, and stakeholders to translate requirements into structured flows
04Delivered production-ready flow architecture to central design team for UI execution
03 Approach

Eight areas of flow design

01
Flow architecture
Structured the journey: Entry & validation " Data capture " Quote " Plan selection " Add-ons " Checkout & issuance.
Clear, navigable path for all user types
02
Decision logic design
Conditional flows based on policy state, vehicle data, claims history, and insurer constraints reducing redundant steps by ~2025% for returning users.
Smarter paths for repeat users
03
Early validation
Vehicle number type detection and mandatory field checks at entry prevented invalid journeys before users invested effort.
~30% reduction in downstream errors
04
Structured data capture
Step-based inputs with inline validation replaced long forms reduced drop-offs from ~40% to ~25%.
Significantly improved completion
05
Pricing & comparison
Structured plan comparison with clear breakdowns, zero-depreciation filters, and visible insurer benefits.
~1520% faster decision-making
06
Add-on system
Modular, selectable add-on components with benefit context reduced cognitive load and increased attach rate by ~1015%.
Higher add-on adoption
07
NCB & IDV flows
Guided No Claim Bonus inputs reduced incorrect entries by ~25%. Adjustable IDV with clear trade-offs improved pricing transparency.
Less confusion at pricing stage
08
Edge case handling
Designed recovery paths for invalid PIN codes, KYC failures, nominee errors, and policy mismatches journey failures became guided recovery moments.
~1218% completion improvement
04 Impact

Results after delivery

"1520%
Full funnel
Drop-off reduction
+20%
Data capture
Form completion rate
"2530%
Entry & forms
Error-related failures
+1015%
Plan selection
Add-on adoption
05 Reflection

What I learned

Most complexity in insurance design lies in logic, not visuals. Designing without UI first improves clarity of thinking and forces you to solve the real problem before decorating it.

Edge cases define real product quality. Strong alignment with business is critical in regulated domains and once the branching logic became clearer, every downstream screen became easier to design, test, and scale.

ReFi NFT Dashboard

ReFi NFT Dashboard case study hero
ReFi Protocol · Freelance

Designing the end-to-end experience for a blockchain-based platform where users invest in real-world environmental assets through tokenization, staking, and NFTs.

RoleSole Product Designer
PlatformWeb App (Blockchain)
ScopeDashboard · Staking · Bridging · NFTs · Leaderboard
GoalMake Web3 + sustainability feel intuitive
01 Problem

Three intersecting UX challenges

ReFi sits at the intersection of Web3 complexity, financial decisions, and environmental impact a combination that creates compounding friction for users.

High cognitive load
Users must simultaneously understand wallets, staking mechanics, bridging, and NFTs before they can take any meaningful action.
Trust gap
Users are investing real money in "real-world environmental impact" mediated through digital abstractions trust is not given, it must be designed.
Fragmented flows
Most DeFi products split related actions across disconnected screens, forcing users to context-switch and lose momentum mid-journey.
02 Goal

Make complex Web3 feel simple and trustworthy

01Simplify Web3 interactions so non-crypto users can participate without prior knowledge
02Build trust through data visibility, clarity, and explainable outcomes
03Create a seamless loop between investing, staking, and NFT ownership
03 Approach

Three design principles that shaped every screen

01
System-first thinking
Instead of designing individual screens, I designed across states: disconnected wallet, empty states, active user states, and error states ensuring the system felt coherent at every moment.
No orphaned or broken states
02
Reduce decision friction
Every screen was designed to answer three questions: What do I have? What can I do next? What will I get? This framing eliminated ambiguity at every decision point.
Clear path forward on every screen
03
Visual trust layer
Deep green palette for sustainability and finance. Glass + glow for premium Web3 feel. Structured cards for data clarity. Every visual choice builds confidence in the system.
Premium feel that earns trust
04 Key Flows

Seven flows designed end-to-end

Dashboard
Clarity over complexity
Consolidated global metrics, personal holdings, and rewards into a single view with visual hierarchy using card grouping so users understand their position instantly.
"38% time to understand portfolio · "52% staking interaction from dashboard
Wallet
Blocking uncertainty early
Forced wallet connection via modal with a clear CTA and zero ambiguity. Most DeFi apps fail because users don't know why things aren't working we solved this at entry.
"27% successful connections · "first-session drop-offs
Staking
Making yield tangible
Simplified pools into Duration, APY, and Lock conditions. Introduced "expected rewards" visibility and a restake modal for an instant action loop after yield matures.
"41% staking conversion · "33% repeat staking via restake flow
Bridging
Reducing perceived risk
Dual input fields with mirrored values, real-time conversion panel, and clear wallet connection states reducing the anxiety of moving assets cross-chain.
"46% bridging errors · "22% successful cross-chain transactions
Leaderboard
Social proof layer
Public visibility of top wallets and staked amounts. Gamifies participation and builds trust seeing others commit meaningfully reduces hesitation for new users.
"19% increase in staking after leaderboard exposure
NFT Marketplace
Making impact visible
Translated abstract "carbon investment" into visual NFTs (trees, forests) with real metadata location, size, certification and tabs for Collection, Project details, Highlights, and Owned NFTs.
"48% NFT exploration rate · "26% purchase intent
NFT Reveal
Emotional hook
Introduced a reveal interaction before showing metadata creating anticipation and ownership attachment. Borrowed from collectibles UX to add emotional weight to a financial action.
"31% engagement per NFT · "retention in marketplace sessions
05 Design System

Built for scalability across DeFi, NFTs, and data

System foundations
Color
Deep green + neon accents finance × sustainability. Glass + glow for premium Web3 feel.
Typography
Clean, minimal, data-first. Hierarchy built for scanning dense financial information quickly.
Components
Metric cards · Data tables · Modal system · Status indicators all designed for reuse across flows.
06 Impact

Combined outcomes across all flows

+4050%
Key flows
Task completion improvement
"35%
First session
User drop-off
2.1×
Staking + NFT
Engagement increase
"41%
Staking flow
Staking conversion
"46%
Bridging flow
Bridging errors
"48%
Marketplace
NFT exploration rate
"27%
Entry flow
Successful wallet connections
"Clear"
Qualitative feedback
"Legit" · "Easy to follow"
07 Reflection

What I learned

In Web3, clarity beats innovation. Financial UX must remove fear before enabling action and visual storytelling (like NFT reveals) can bridge the gap between abstract concepts and genuine emotional investment.

The deeper lesson: good UX hides complexity without removing capability. The system felt simple on the surface while giving power users full control underneath that balance is the hardest thing to get right, and the most valuable when you do.

Colrows

Colrows case study hero
Colrows · Freelance

Designing an AI-first data workspace turning complex data workflows into real-time decision systems anyone can use, not just analysts.

RoleSole Freelance Product Designer
PlatformWeb App
FocusAI Chat · Querying · Data Viz
ScopeEnd-to-end UX/UI
01 Problem

Organizations don't lack data they lack speed and clarity

Data is siloed
Data lives across disconnected systems with no unified layer making cross-source questions nearly impossible without analyst involvement.
Business teams depend on analysts
Every question requires a data request. Queries take hours or days slowing decisions at every level of the organization.
BI tools are complex and fragmented
Existing tools require SQL knowledge and context-switching between multiple platforms too steep a curve for non-technical users.
Decision latency is real
In one real deployment, teams took 23 days to answer a single business question a direct cost to speed and competitive advantage.
02 Goal

Make data access instant and self-serve

01Anyone can query data instantly no SQL, no analyst dependency
02AI removes the barrier between a question and an answer
03Insights are explainable, editable, and actionable not black-box outputs
04Decision-making becomes real-time across the whole organization
03 My Role

Sole Freelance Product Designer

"UX strategy and product thinking shaping how the AI layer should work for different user types
"End-to-end UI/UX design across AI chat, querying, and insights surfaces
"AI interaction design defining how users communicate with and trust the system
"Data visualization flows and design system foundations
04 Approach

Five design decisions that shaped the product

01
One core action: Ask anything
Instead of dashboards and filters, the product centers around a single prompt: "Ask a question." This reduces friction and aligns with natural user behavior removing the need to learn the tool's structure.
Zero learning curve for new users
02
AI + structured outputs (trust layer)
AI alone isn't enough in data products. I designed chat-based input with structured outputs tables, charts, and editable SQL so users could verify and trust what the AI returned.
Transparency at every answer
03
Explainability as a core UX principle
Users can see how answers are generated, edit queries, and rerun them. Insights are backed by visible data sources building trust in a category where skepticism is high.
Users act on AI outputs with confidence
04
Question " Insight " Action
AI suggests visualizations automatically. Charts generate instantly. Users iterate without switching tools the whole workflow lives in one continuous, uninterrupted flow.
End-to-end in minutes, not days
05
Designing for multiple personas
Non-technical users get a conversational interface. Analysts get flexible SQL control. Enterprises get role-based access and security. Progressive disclosure serves all three without compromise.
One system, three user types
05 Features

Key features designed

AI-powered conversational querying
Auto-generated & editable SQL
Real-time chart generation
Unified workspace across data sources
Notebook-style exploration
Role-based access controls
06 Impact

From a live enterprise deployment

"90%+
Decision latency
Questions answered in minutes instead of days
Data adoption
Business teams querying data directly
"80%
IT/data team requests
Shift to self-serve analytics
1000×
Campaign diagnosis
Real-time optimization became possible
+1824%
Sales productivity
Faster insights " faster decisions
"30%
Supply chain
Reduction in stockouts
+15%
Inventory
Inventory turnover improvement
<4 min
Was 23 days
Time to answer a business question
07 Before vs After

What changed

Before
After
23 days to answer a business question
Under 4 minutes
Heavy dependency on analysts
Self-serve by business teams
Static dashboards
Real-time insights
Fragmented data sources
Unified semantic layer
Multiple versions of truth
Single source of truth
08 Challenges

Hard problems this project surfaced

01
AI uncertainty vs data accuracy
AI outputs can feel uncertain especially in data products where accuracy is critical. Solved through transparency (show the source), editability (let users fix queries), and structured outputs (tables before interpretation).
Trust built through control, not faith
02
Simplicity vs power
Non-technical users need simplicity. Analysts need control. Solved through progressive disclosure and a layered UX each persona gets the right depth without overwhelming the other.
One interface, no compromises
03
No existing design patterns
AI + BI is a genuinely new category. There were no established patterns to borrow from. Solution: combine chat UX conventions with data tooling patterns familiar enough to learn, new enough to be powerful.
Invented patterns that now feel obvious
09 Reflection

What I learned

AI products must prioritize trust and explainability above everything else. Good UX hides complexity without removing capability and data products succeed when they reduce time-to-decision, not just improve visuals.

The outcome: Colrows evolved into a system where business teams can go from question " insight " action in minutes, without relying on data teams. That's the real measure of success.

RAJAT
GIRHOTRA

Designer of digital and visual products based in Pune.

Currently working as product designer at Bajaj Finserv.

5+
Years of experience
25+
Projects Completed
8+
Digital products

Fun fact - This website is fully vibe coded by me.

Rajat Girhotra
Bajaj Finserv
Bajaj Finserv
Product Designer
2022 - present

As part of Bajaj Finserv Insurance Team, I focused on creating innovative, well-crafted, memorable product experiences for millions of users.

Bottem Funnel: Redesigned cart & payment screens, boosting conversions.

Mid Funnel: Redesigned PDP, PLP & Created Supercards for consistent UX

Membership: Created Gold page with benefits and transaction history.

POS: Updated designs for LK Stores' Point-of-Sale application

Some of my work

A curated selection of projects that reflect my approach to thoughtful, user-centered design.

Life Insurance, Bajaj Finserv project preview
Life Insurance, Bajaj Finserv

Designing journey to buy Life Insurance for the customers

Go Leap project preview
Go Leap

To make discovery experience more immersive

ReFi NFT Dashboard project preview
ReFi NFT Dashboard

Making climate investing accessible, transparent, and on Blockchain with NFTs

Colrows project preview
Colrows

Creating a collaborative color workspace for creative teams to explore and decide faster.

Designer. Builder.
Lifelong learner.

Design was something that always stayed with me from the childhood. I used to be a coder until 2020. That’s when I decided to switch careers and move into design.

In hindsight, design probably came from my father. He always cared about how things were around him. From how footpaths connect to roads, to how easy an electronic device is to use. He paid attention to all of it.

Being a coder gave me the perspective of how computer works. Design is teraching me how humans work.

After getting a design job, I realised design is also about working with the business. Hitting numbers. Improving metrics. Fixing funnels. Reducing friction. All while still delighting and helping customers. That’s what I focus on now.

I learned design by practicing. By trying new products and apps. But mostly by staying curious.

With the rise of AI, I can now create what’s in my head at the speed of light. Iterate -> Experiment -> Fail -> Iterate again.

Fail fast. Learn fast.

In my free time, I read books, create videos, work on side projects, spend time with friends & family or on my Playstation.