Sarthak Mathpati — Product Engineer

🎯 Driven Quant Trading Aspirant | Market Microstructure | Agentic AI | Deep Reinforcement Learning | High-Performance Computing I’m deeply passionate about the intersection of quantitative finance, AI, and market dynamics—obsessed with understanding the mathematical and strategic foundations of financial markets at their most granular level. My interests lie in: High-frequency and low-latency trading Limit order book dynamics and market microstructure Game-theoretic and adversarial modeling of markets Agentic AI and multi-agent reinforcement learning in financial environments Latency-aware execution strategies and simulation of fragmented markets I thrive on deeply technical challenges and believe in mastering complex concepts from first principles—whether in stochastic processes, optimization, or high-performance computing with C++/Rust. Every learning step is tied to real-world quant strategy thinking and long-term modeling skill. 🔭 Long-term goal: To become one of the best quant traders in the world—building autonomous, intelligent, and edge-aligned systems that adapt and thrive in adversarial, real-time market environments. If you're into quant research, trading systems, or building intelligence for financial markets, let’s connect.

Stackforce AI infers this person is a Fintech professional with a focus on quantitative trading and AI-driven market strategies.

Location: South Delhi, Delhi, India

Experience: 3 mos