I'm a BASc student at UCL studying Computer Science (with an Economics minor), graduating 2027. I sit at the intersection of technical depth and product thinking — I build things, ship them to real users, and care deeply about the why behind every design decision.
I'm drawn to roles where engineering rigour meets product strategy: APM / TPM programmes and AI-native products.
💉 Vaccine Buddy — Built an iOS app to track vaccination records for stray animals using feature extraction to identify individual strays. Designed the full product experience in SwiftUI, tackling a core problem in animal welfare: strays have no persistent identity, so vaccination history gets lost. Feature extraction provides that continuity.
💸 SplitStar (HuddleHive WIT Hackathon #4 — 🥇 Overall Winner + Starling Bank Prize, 2025) — Gamified expense-splitting app built around "Stevie the Star," a mascot that sends playful nudges instead of awkward money reminders. Designed the full rewards economy (points → vouchers, cashback, fractional stocks) and the product loop from scratch under time pressure. Built with Next.js, TypeScript, and Supabase; live demo on Vercel.
🧠 Gemma (HuddleHive WIT Hackathon #5 — 🥇 Overall 2nd Place + Best Use of Gemini, 2026) — AI tutoring platform that guides students through reasoning rather than handing them answers. Served as Product on the team: defined the problem framing, shaped the pedagogical angle (guided reasoning vs. answer dumping), and drove the product narrative. Gemma supports multimodal input (typed, handwritten, uploaded), uses Gemini for adaptive hint generation, and Cloud TTS for spoken feedback — designed as a persistent learning environment, not a one-off chatbot.
📊 EY-Parthenon Intern — Strategy & Transactions practice, Bangalore. Worked on deal technology and AI strategy engagements across BFSI and telecom.
- ML: SVM kernel comparison (Linear / Polynomial / RBF) on Fashion MNIST — studied generalisation bounds and hyperparameter sensitivity
- Simulation: Epistemic uncertainty in AI forecasting systems (GraphCast case study) — exploring when ML predictions should and shouldn't be trusted
- Dissertation (planned): HCI + vibecoding — how natural language programming interfaces reshape the cognitive model of software development
- 🧪 Competing in OpenAI Parameter Golf (April 2026)
- 📐 Exploring LLM fine-tuning and efficient model architectures
- 🗂 Designing my dissertation around vibecoding and HCI
If you're working on something at the edge of product and technology — especially in fintech, AI, or developer tools — I'd love to connect.