I'm Chintan N. Ruparel — a quant engineer and AI builder with 8+ years in financial markets, currently pursuing my Masters at NYU Tandon School of Engineering (MS Computer Engineering) and NYU Stern School of Business (MS Fintech & Entrepreneurship) in New York City.
At MachineTrader.io, I work on a ~$2M algorithmic portfolio — engineering latency-optimised HFT systems and AI-powered alpha strategies across live markets. As Research Assistant at NYU Stern under Prof. Edward Altman, I pioneer agentic AI frameworks for credit-risk model transparency in the BFSI sector.
I founded TWODS Capital in 2021 — a data-driven investment firm delivering 16%+ CAGR to 300+ clients with proprietary Python quant models and 600K+ annual site visits. I co-founded Escape Inc., shipping production-grade fintech products at startup velocity: 100ms load times, 99.9% uptime, CI/CD pipelines cutting release cycles 60%.
I've been selected as a Perplexity Business Fellow and serve as a Campus Leader at NYU, where I bridge the communities of finance, technology, and entrepreneurship. I'm licensed under NISM for equity and currency derivatives, and certified in Bloomberg Finance Fundamentals.
Three disciplines. One person. Infinite application. I don't choose between being a quant, an AI researcher, or a software engineer — I operate at all three simultaneously and build systems where they intersect.
HFT pipelines, LSTM backtesting frameworks, AI-powered alpha on live multi-million dollar portfolios. 8+ years reading markets — now I engineer them at millisecond scale.
Deep learning, NLP, agentic AI for BFSI. Biomedical CNN pipelines. Research-grade systems that go from notebook to production and stay there.
Full-stack products, DevOps, scalable cloud infra. Built things handling millions of visits with 99.9% uptime. Craft and speed, not one or the other.