Building High-Performance Trading Systems
Software engineer focused on real-time data systems, distributed messaging, and high-performance backend architectures.
Engineering from the Ground Up
I specialize in the hardest parts of backend engineering: state management, distributed concurrency, and parsing raw network data streams into actionable intelligence. My philosophy is to build elegant architectures that remain resilient under the chaos of live markets.
Algorithmic Trading
Building resilient systems that execute real-time trading strategies and handle market feeds with microsecond precision.
Distributed Messaging
Expertise in ZeroMQ, RabbitMQ, and Redis to achieve high-throughput, low-latency inter-service communication.
Performance Debugging
Analyzing thread dumps, memory profiling, and packet-level inspection (Wireshark) to optimize production latency.
Scalable Architecture
Designing backend microservices in Java & Spring Boot, deploying on AWS with robust CI/CD, and scaling for peak loads.
System Architecture
High-throughput data pipe modeling with microsecond precision.
Market Data Feed
Real-time Ticks & Level 2 Data
Messaging Bus
ZeroMQ / RabbitMQ Messaging
Strategy Engine
Algorithmic Logic Execution
Order Manager
FIX Protocol / Broker APIs
Trading Dashboard
Live P&L Visualization
Featured Projects
Algorithmic Trading Strategy Manager
Backend system managing automated trading strategies and order execution using real-time market feeds.
Real-Time Market Data Engine
Low latency system consuming market ticks and distributing them to strategies.
Trading Analytics Dashboard
Frontend dashboard to analyze algorithm performance including P&L visualization.
Core Expertise
Bridging the gap between deeply technical backend processing engines and visually appealing developer tools.
Engineering Challenges
- Debugging ZeroMQ message stalls
- Analyzing thread dumps in production
- Handling real-time data streams
- Performance optimization