Third-year engineering student at BITS Pilani (Mechanical Engineering + Finance Minor). I build things, think commercially, and operate equally well under ambiguity as under instruction (maybe better when given creative freedom).
My background is an unusual combination: I can read a P&L, model unit economics, and ship a working software product without writing a line of code. Most people pick one of those. I'm trying to be useful across all three.
Vite + React + SQLite — AI-native development
Built because my Streak free trial expired and I refused to pay for features I knew I could build myself. Local-first architecture — deliberate choice to eliminate server costs and keep full user control. No hand-written code; built entirely using agentic AI development (Google Antigravity + Gemini Pro).
The interesting part wasn't the build — it was the scoping decisions. I cut a planned AI-feature layer from v0.1 to ship faster. That trade-off taught me more about product thinking than anything I've read about it.
Status: Shipping v0.1
Python, Flask, Plotly.js
My personal website — a suite of institutional-grade financial modeling tools I built to practice thinking through investment decisions the way real deal teams do. Includes a Heston stochastic volatility engine, pairs trading cointegration lab, LBO/reverse-LBO solver, and portfolio optimizer built on MPT.
The finance tools are not the point anymore. What they represent is: I can identify a complex problem, figure out what needs to be built, and ship something that actually works — without a team, without a brief, and without formal training in the domain.
Live: harshit-portfolio.me
IC-style memos grounded strictly in public disclosures
Three institutional-grade investment memos: Netflix/WBD M&A ($82.7B EV model), GE Aerospace LBO (22.4% IRR, 2.8x MOIC), and a Spotify short thesis built around an LTV/CAC inversion I identified (0.91x on paid net adds).
These aren't finance content anymore — they're evidence of a specific kind of thinking: structured analysis under incomplete information, explicit risk framing, and the ability to build a coherent narrative from raw data. That transfers directly to product and strategy work.
I don't wait for a perfect brief. I figure out what the problem is, build a framework around it, and move.
At Apna, I cold-pitched my way into a strategy role at a national case competition — no job posting, no recruiter. Then I owned market entry research for their EdTech vertical and identified a $2M opportunity across Tier-2 cities.
At BITS, I managed a ₹1.2 Crore budget for India's largest student sports festival and resolved a 1,000-person accommodation crisis at 2 AM through stakeholder negotiation.
I mention these not to pad a profile but because they're the same skill as building software: identify the constraint, find the path through, execute.
Product internships and founder's office roles at seed-to-Series B startups — Summer + Fall 2026. Preferably somewhere that moves fast, gives real ownership, and where month three looks different from month one.
If you're building something and want someone who thinks commercially before they think about features — I'd love to talk.
📎 harshit-portfolio.me 💼 LinkedIn 📧 harshit.singh.work@outlook.com
BITS Pilani · Mechanical Engineering + Finance Minor · Expected May 2027