I blend advanced mathematics, machine learning, and full-stack engineering to turn complex ideas into real-world tools.
I'm a third-year M.Sc. student in physics and mathematics, specializing in industrial mathematics. My work lives at the intersection of theory and engineering: I build full-stack systems powered by deep math, from real-time arrhythmia detectors to quant backtesters and forward deployed engineers.
In 2024, I was diagnosed with heart failure. Instead of stepping back, I doubled down - studying, training, and coding through irregular heartbeats that I could literally see in my own ECG data. That experience shifted my focus. I don't just want to build “projects.” I want to engineer systems that matter, tools that monitor, predict, and automate things critical to real life.
Today, I work mostly in Python, C++ and Next.js. My current focus spans real-time ECG analysis, cardinality-constrained portfolio optimization, and high-frequency crypto strategies. Whether in health or finance, my goal is the same: to take complex problems and engineer solutions that actually work.
A real-time ECG monitoring application that streams live cardiac data from Polar H10 chest straps and performs intelligent arrhythmia detection using advanced signal processing algorithms. Tracks PVC burden, detects patterns like bigeminy and trigeminy, and supports session-based analysis with planned alarm functionality for high-risk events.
This project explores portfolio optimization under cardinality constraints, where the number of assets selected in a portfolio is explicitly limited. Using integer programming, the project demonstrates how adding a cardinality constraint transforms a convex Markowitz optimization problem into a combinatorial, non-convex challenge.
A custom algorithmic trading system for Solana using custom signals, enhanced with BTCUSDT price context for confirmation. The strategy includes dynamic stop-loss, ATR-based take-profit, slippage modeling, and realistic funding/fee handling. Backtested on 5-minute candles with live simulation support. It has been deployed live and generated consistent profit in high freq trading environments.
GoCoachly helps high-ticket coaches scale by automating workflows, surfacing personalized insights, and tracking key metrics. I built forward-deployed engineer systems that let coaches give direct feedback on features and fixes, making the platform evolve faster while staying aligned with their real needs.
A startup discovery platform that delivers AI-generated business ideas daily. Users can explore, analyze, and expand on startup concepts. I contributed to the frontend architecture, user interaction flow, and content generation logic.
A web platform and Chrome extension designed to enhance and manage AI prompts more effectively. Prompt Fox allows users to save, organize, and inject optimized prompts directly into AI tools. I contributed to both the frontend and backend, as well as the core Chrome extension logic.
The society that separates its scholars from its warriors will have its thinking done by cowards and its fighting by fools.— Thucydides
Developed and iterated on 8 AI product builds, applying rapid prototyping and statistical A/B testing to drive engagement. Engineered and deployed 2 production-grade platforms, translating algorithms into scalable, real-time systems. Built a forward-deployed feedback agent in 4 days, leveraging context engineering and applied machine learning to improve prediction accuracy and user interaction. Collaborate closely with founders, designers, and product teams in a venture studio environment to rapidly launch and scale startups.
Tutored high school students in mathematics, focusing on problem-solving and conceptual understanding. Developed personalized learning plans and resources.
Served as a combat engineer. Developed skills in teamwork, leadership, and problem-solving under pressure.