I build strategy-led
products that drive
measurable impact.
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
EV ecosystem strategy for Ford Pro's commercial vehicle division. Mapped 5 customer archetypes, benchmarked 4 competitors across ecosystem dimensions, and delivered two product recommendations: a Smart Assistant copilot and a Battery-as-a-Service model.
5 customer segments · 4 competitors benchmarked · 2 product recommendations
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.
Sustainable Materials Startup
Defined product-market fit hypothesis for a mycelium-based paper alternative by analysing target segments, cost structures, and regulatory constraints. Shaped go-to-market strategy including pricing model, competitive positioning, and phased regulatory roadmap. Built financial and cost analysis frameworks to evaluate scalability and margin viability.
Graphics Hardware Engineer
Worked on validation and functional testing of Intel's graphics hardware pipeline. Developed test automation scripts, identified silicon-level defects, and collaborated with cross-functional hardware and software teams, building the technical depth that now underpins how I work with engineers as a PM.
How I Think
as a Product
Manager
- I start with the user, not the feature list.
- I prototype fast, AI and no-code tools first, engineering investment only when the signal is clear.
- I translate complexity into clear, prioritised roadmaps.
- I communicate across engineers, executives, and customers without losing any of them.
- I connect technical depth with commercial impact, fluently.
- I optimise for learning speed and measurable outcomes, not activity.
Product & Strategy
- Product Strategy
- Go-to-Market
- Roadmapping
- Experiment Design
- User Story Mapping
- Agile Principles
Research & Communication
- User Interviews
- Stakeholder Interviews
- Executive Communication
- Workshop Facilitation
- Market Analysis
Technical Fluency
- SQL (Intermediate)
- Python (Foundational)
- TypeScript (Applied)
- REST & AI API Integrations
- PWA Deployment
Tools
- Excel
- PowerPoint
- Notion
- Figma
- No-code prototyping tools
Languages English · Hindi · Telugu · French · Korean
Beyond
the Resume
Outside work, I'm constantly building and experimenting, mostly with myself. Recent experiments, include:
How many days can I survive on 4 foods for all 3 meals? Results: 10 days.
How many new ways can I discover to consume chicken and cottage cheese before I never look at them again? Still under active investigation.
How long does it take to run a 10k for someone who has never run unless she has to? Roughly 2 months and a lot of calf ache.
Is Pilates actually as easy as it seems? Absolutely not. Ask the muscles I did not know I had.
I'm also currently testing whether I can be a content creator on Instagram. Early-stage product. Uncomfortable so far. That's exactly why I'm doing it.
On the side, I'm vibe-coding small AI experiments, a LinkedIn messaging assistant grounded in behavioural psychology to increase reply rates, and a Co-Star style tarot app redesigned with actual product thinking instead of aesthetic-only mystique.
I run. I do Pilates. I track things obsessively. Lately, protein has been half my personality, cottage cheese, chicken, macros, optimisation. It sounds trivial. It's the same instinct: experiment, measure, refine. Small inputs. Compounded results.
I read constantly and write detailed Goodreads reviews. I don't really switch off product thinking, I just apply it to different domains. Curiosity is what keeps me going.
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.