About me

My journey into finance began not in a classroom, but in curiosity — sparked by the story of Jim Simons, the mathematician who redefined Wall Street with algorithms and logic. That story lit a spark in me. At 17, while most were still discovering what finance even meant, I began trading — experimenting with price action, studying volatility, and testing strategies manually. What started as fascination turned into obsession, and eventually, a structured pursuit.

Over the years, I transitioned from discretionary setups to fully algorithmic trading, writing code that could act on the patterns I saw faster, smarter, and without emotion. Today, I manage over ₹1 crore (~$120k) in personal capital, executing high-frequency strategies in U.S. equities and Indian derivatives, all powered by models I’ve built from scratch.

My core edge lies in understanding market microstructure and Level 2 order flow. I specialize in statistical arbitrage, pairs trading, and volatility-based mean reversion, often combining classical models with machine learning techniques.

I’ve worked across fintech startups, crypto-native platforms, and traditional capital markets, blending artificial intelligence with market dynamics. Whether it’s researching volatility surfaces for options or building a reinforcement learning bot for BTC-USD, I approach markets as a scientist and trader combined.

If you're a recruiter or just curious about my experience, feel free to check out my Resume