I'm a Senior Software Engineer and Tech Lead with over a decade of experience architecting and building high-performance, mission-critical systems. My passion lies at the intersection of quantitative finance, low-latency trading, and applied AI.
- 🔭 Currently: Architecting real-time data processing systems for aerospace & defense.
- 🛠️ Core Stack: C++, Python, Linux, Terraform, Kubernetes, Docker, React.
- 💡 Interests: Low-latency optimization, system architecture, quantitative trading strategies, and ML model performance.
- 🌐 Portfolio & Blog: latencylabs.dev
- 🔗 Connect: LinkedIn
| Project | Description | Key Technologies |
|---|---|---|
| C++ Matching Engine | A high-performance limit order book (LOB) matching engine built for low-latency execution. | C++17/20, System Architecture, Low-Latency |
| Reproducible Quant Research Infra | An automated, one-click research environment on AWS for quantitative finance, provisioned with Terraform. | Terraform, Docker, AWS, DevOps/SRE, Python |
| Real-Time Market Anomaly Detector | A full-stack application that detects and visualizes anomalous trading patterns using an ML model. | Python, AI/ML, WebSockets, React, FastAPI |
| Embedded ML Model Optimizer | A toolkit for optimizing ML models for high-performance inference on resource-constrained hardware. | Embedded Systems, C++, Python, AI/ML, TFLite |