Quant Systems Engineer · Low-Latency C++ · Autonomous AI Agents
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I build low-latency market-making and execution systems in C++ and Python, and autonomous multi-agent AI platforms that plan, retrieve, critique, and act on their own. My work sits at the intersection of quantitative microstructure research and production-grade agentic AI engineering.
- ⚡ Quant Focus: market microstructure, order-book dynamics, multi-alpha signal research, execution-cost analytics, backtesting & performance validation (Sharpe/Calmar, drawdown analysis).
- 🤖 AI Focus: hierarchical multi-agent orchestration, retrieval-augmented reasoning (RAG), self-reflective critic loops, and LLM-workflow infrastructure.
- 🧪 Habits: clean, documented, self-contained repos — every project ships with a working demo path, not just notebooks.
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AlphaStack — Multi-Alpha Convex Optimization Engine Research framework to discover, combine, and convex-optimize multi-alpha signals into market-resilient portfolios. |
Low-latency crypto ETP market-making and cross-exchange execution research platform. |
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Normalizes, measures, and statistically validates real-time order-book liquidity, execution slippage, and infrastructure reliability across Binance, Coinbase, Kraken, and OKX. |
Pure-Python backtesting engine with built-in PnL charts, drawdown analysis, Sharpe/Calmar metrics, and Colab support. Clone → overwrite trader → run. |
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Extends Google's AI Co-Scientist with modular multi-agent orchestration, retrieval-augmented reasoning, long-term memory, automated evaluation, benchmarking, and Docker deployment. |
Self-hostable AI execution engine in Python 3.12 with FastAPI, PostgreSQL 16, Redis 7, and OpenTelemetry — architected for multi-tenant SaaS LLM-workflow orchestration. |
📂 More Projects — click to expand
| Repository | Language | Description |
|---|---|---|
| Real-Time-Market-Making-Execution-Engine | C++ |
Production-grade, low-latency electronic market-making system built to demonstrate quantitative microstructure and high-performance C++ systems engineering. |
| AutoResearch | Python |
Self-reflective, hierarchical multi-agent research platform. |
| Production-Grade-Multi-Agent-AI-Content-Generation-Platform | Python |
Hierarchical multi-agent AI system for autonomous, research-grounded blog generation. |
| Evolutionary-Neural-Architecture-Search | Jupyter / PyTorch |
Lightweight, native Neural Architecture Search framework driven by a custom-built genetic algorithm. |
| Distributed-In-Memory-Key-Value-Store | C++ |
High-performance, distributed, in-memory caching engine and key-value database. |
| MultiClass_Image_Classification_Using_CNN | Jupyter Notebook |
CNN model classifying Alzheimer's disease risk across 44,000 human brain MRI images into 4 risk tiers. |
| Media-Bias-Mitigation- | Python |
Mitigates ideological media bias across 5 news sources and Twitter via a bias-mitigated summary chatbot. |
| MinimalBlockChainPy | Python |
Minimal blockchain implementation demonstrating proof-of-work, hashing, and cryptographic ledger consensus. |
These cards are generated and committed by a GitHub Action every 24h — no third-party runtime dependency, so they won't go blank.