Panyakorn K.

Quant Developer | Full Stack Engineer | AI/ML Specialist

I bridge the gap between complex financial logic, autonomous AI systems, and high-performance software engineering. With over 8 years of experience, I don't just write scripts; I architect institutional-grade systems—from low-latency trading engines to scalable, full-stack web platforms. 1. Quantitative & Algorithmic Trading Hybrid Low-Latency Systems: I design decoupled C++/Python architectures for MFT (Mid-Frequency Trading). My proprietary systems utilize market microstructure (order flow, book imbalances) and regime-switching models to capture alpha. Rigorous Validation: I reject simple vector backtests. I build custom Event-Driven Backtesters that pessimistically model slippage, latency, and maker/taker fees to ensure strategies are robust before deployment. Predictive ML: Expert in applying XGBoost and Scikit-learn to financial time-series data for anomaly detection and trend forecasting. 2. Generative AI & Agentic Workflows Autonomous Agents: I architect stateful, multi-agent workflows using LangChain and LangGraph. I build systems where agents reason, critique, and self-correct to automate complex enterprise tasks. Advanced RAG: Designing "Retrieval-Augmented Generation" pipelines for document intelligence, extracting structured data from unstructured financial/legal documents with high accuracy. 3. Full-Stack Engineering Foundation My math and logic skills are built on a rock-solid engineering foundation. I deliver polished, production-ready applications. Backend: Python (FastAPI, Django), Node.js/TypeScript, C++ (for performance modules). Frontend: React.js, Next.js, modern CSS (for responsive, commercial-grade UI/UX). Infrastructure: Docker, AWS/GCP, CI/CD pipelines, and SQL/NoSQL database design. A Unique Advantage As a native Thai speaker with expert-level English, I bridge the communication gap for international teams entering the Southeast Asia market or Thai projects targeting the US. If you need a developer who understands the mathematics of the market, the architecture of AI, and the engineering of the web, let's talk.