Hey! I’m Aakansha — a CS grad with an obsession for turning data into insight and logic into elegance.
Landing an interview with Citadel, even though I didn’t get the job, was a turning point. It sparked my curiosity and pushed me to start learning quantitative finance and AI systems on my own. Later, I applied to my dream MBA program, but didn’t get in due to lack of work experience. Still, that rejection just reinforced what I’d already discovered: I didn’t need permission to chase what intrigued me. Whether it’s untangling messy market data, building intelligent underwriting tools, or architecting clean, scalable systems — this is the kind of work I’m meant to do.
I don’t drink coffee. I run on clarity, clean code, and playlists that know what I need before I do.
- Building intelligent tools that actually get used
- Creating backend systems that don’t just scale — they think
- Learning faster than the algorithm that’s trying to beat me
🧠 An AI mortgage co-pilot to streamline pre-underwriting
📈 Quant backtests for retail investing strategies
🧰 Lightweight developer tools for productivity + automation
- 💼 Klarify – Built backend components for a data-heavy React app (unpaid but full-on startup mode)
- 🎨 Envouge – Helped digitize workflows for an e-com brand (also unpaid, but full of impact)
Languages: Python · JavaScript · TypeScript · SQL
Frameworks: FastAPI · Node.js · Express · Firebase
Data: PostgreSQL · MongoDB · Pandas · NumPy · Jupyter
Frontend (selectively): React · Next.js · Tailwind CSS
Other Things I Love: Git · VS Code · Figma · Notion · Vercel
“You don’t have to go the traditional route to build something extraordinary.”
— Me, probably while debugging at 2am