Lov Nexora
Freshman studying Economics, Mathematics & Statistics. Self-taught builder in AI/ML and web dev — I learn by shipping, not by waiting to be ready.
I sit at the intersection of two worlds that don't usually talk to each other: quantitative economics and applied AI. My degree gives me the math underneath models most people only use as black boxes. My real education has been building things in public — two deployed products, an early-stage startup that taught me more by failing than most courses teach by succeeding, and a habit of picking up whatever tool a problem actually needs.
Do or Die
Deployed · VercelA hardcore productivity app built on a simple idea: deadlines without real stakes don't work. Built the full frontend solo; backend and database are the current build phase. No-frills accountability, not another to-do list.
Stroke Risk Predictor
Deployed · StreamlitML model predicting stroke risk from patient health data. Tested multiple algorithms before landing on the best performer at ~85% accuracy, wrapped in a clean Streamlit interface so the model is actually usable, not just a notebook.
Full Stack Money Tracker
Deployed · Vercel (monorepo)A high-performance financial ledger designed to track personal capital with zero friction. It uses an active-state serverless connection layer to completely bypass traditional cloud execution bottlenecks, providing instant data delivery and resilient record updates on an entirely stateless architecture.
Curated Library
Deployed · Vercel (monorepo)A Library where you can store your personal favourite things and look at those whenever you want whether books, articles, videos etc. you can track them if you have completed them or those are in queue.
Founder & Team Lead — Solar Startup
Led a team to win school seed funding for a solar products venture. Paused it myself once workload and internal role conflicts made it clear the team wasn't aligned enough to execute well — a leadership call, not a quiet fade-out. The clearest lesson I've had yet: a good idea with seed money still needs the right team structure to survive.
Intern — Hyundai
120+ hours inside a large-scale corporate environment, early exposure to how real organizations operate at scale.
NSS — Community Service
120+ hours running awareness campaigns and teaching sessions through the National Service Scheme.