I am a Full-Stack and DevOps Engineer with 17+ years of experience, specializing in Java low-latency systems, distributed messaging, and scalable backend design.
My expertise includes:
- Languages & Frameworks: Java (Spring Boot), Python, TypeScript, Next.js, Rust (learning)
- Low-Latency & Messaging: Kafka, Aeron, LMAX Disruptor, ChronicleMap, Agrona, Redis/Valkey, Netty
- Cloud & Infrastructure: AWS, Kubernetes, Terraform, Docker, CDK
- Frontend & Tooling: React/Next.js, IntelliJ plugins, SaaS product design
I am building a quantitative trading systems research platform, integrating:
- IBKR/FIX APIs with high-performance pipelines
- Monte Carlo simulations, financial mathematics, option pricing models, and risk analytics
- Low-latency architectures, real-time market data processing, and execution infrastructure
This serves as a laboratory for applying my engineering background to quantitative research and trading system design.
- ⚡ High-Performance Trading Infrastructure — exploring kernel bypass, off-heap storage, and sub-microsecond IPC
- 📊 Real-Time Dashboards — building Next.js + GraphQL/REST dashboards for live PnL and risk analytics
- 🛠 Developer Tools — IntelliJ plugins, SaaS prototypes, and production-grade GitHub repositories
- 🧮 Quantitative Research — applying math and statistics to trading strategies and simulations
My long-term vision is to bridge technology, markets, and entrepreneurship by developing institutional-grade trading and analytics platforms that scale with reliability and speed.
✨ Always exploring the intersection of low-latency engineering and quantitative finance.