I build AI products
that turn information
into retained knowledge.
0→1 Builder · London, UK
Work visa until 2027
Notely
AI-powered knowledge retention system. Paste any link — get structured notes, then spaced repetition schedules reviews so what you consume actually sticks.
Live product · 7 platforms · PWA
View Case Study → 02GreatReads
Rebuilding Goodreads' recommendation engine around transparency and recency. Preference-first algorithm design with user research, experiment plan, and Figma prototype.
Product Case Study · North star: 5% → 25% recommendation-to-shelf-add
Read Case Study → 03Ford Pro
Fleet EV go-to-market strategy for the UK market. Led a cross-functional team through customer research, market segmentation, and 18-month roadmap planning.
Projected £20–25M revenue impact · 30+ customer interviews
View Project →Global Methane Hub
Owned the legal and regulatory workstream for a global methane initiative. Defined scope, timelines, and governance models across 8+ cross-border entity structures. Led 20+ senior stakeholder interviews to synthesise inputs into board-ready decision frameworks.
Project Aasha
Team lead on a nationwide youth entrepreneurship programme. Defined MVP selection criteria, positioned 30%+ of ideathon ideas for incubation, and designed a mentorship framework supporting 500+ youth entrepreneurs across India.
Property Market Expansion
Secured 3 high-return site acquisitions through end-to-end deal pipeline ownership. Led market analysis of 50+ properties. Closed ₹8Cr (~£800K) in transactions. Increased lead-to-sale conversion by 35% in 6 months.
HEC Paris Business Game
Ranked top 5% of 300+ international participants. Delivered data-driven strategic recommendations for Bain & Company, BNP Paribas, and Schneider Electric in a 48-hour case challenge.
Why My
Background
Works in Product
- I can talk to engineers without losing them.
- I can talk to executives without losing them.
- I've shipped real infrastructure — Notely runs on Cloudflare Workers, D1, and production AI.
- I've led 20+ senior stakeholder interviews across global consulting engagements.
- I've built product from 0 to 1, alone, end-to-end.
- I've run user research, financial modelling, and full roadmap planning.
- KL University Gold Medal — ranked 1st of 120 in MTech Electronics.
- LBS Impactathon winner.
- Top 5% at HEC Paris Business Game — 300+ international participants.
Product & Strategy
- Product Strategy
- Go-to-Market
- Roadmapping
- Experiment Design
- User Story Mapping
- Agile / Scrum
Research & Communication
- User Interviews
- Stakeholder Interviews
- Executive Communication
- Workshop Facilitation
- Market Analysis
Technical
- SQL
- Python
- TypeScript
- Cloudflare Workers
- D1 (SQLite)
- AI APIs
- REST APIs
- PWA
Tools
- Figma
- Jira
- Notion
- Excel (Advanced)
- PowerPoint (Advanced)
- PostHog
Languages English · Hindi · Telugu · French · Korean
Beyond
the Resume
Engineering gave me the discipline to decompose complex systems and build precisely. Consulting gave me the vocabulary to navigate organisations and translate technical insight into executive action. Building Notely — end-to-end, alone, in production — proved I can do both simultaneously.
I'm a state boxing champion. Still training 2–3 times a week. Boxing and product management share more than most people expect: pattern recognition under pressure, iterating on your approach mid-game, and the discipline to stay composed when things don't go to plan.
I'm an intermediate Carnatic vocalist. The raga system — rigorous improvisation within strict structural constraints — is the best analogy I know for product thinking. Constraints don't limit creativity. They direct it.
I speak five languages: English, Hindi, Telugu, French, Korean. Localisation and cultural context are defaults in my product thinking, not afterthoughts.
Currently completing a Masters in Management at London Business School. Building Notely on the side.
If you're building something ambitious in AI, consumer tech, or anywhere that needs someone who can think strategically and ship technically — I'd love to talk.