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Python Go Rust PyTorch Apache Parquet WebSockets Flask
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James Bond

+1 (555) 123-4567 | james.bond@gmail.com | LinkedIn | GitHub | London, UK

Professional Summary


Quantitative Developer with 3+ years of engineering experience building production-grade HFT systems, ML-driven trading pipelines, and real-time market data infrastructure. Designed a 26-model ensemble predictor achieving 75% win rate, engineered a sub-2ms on-chain arbitrage engine in Go/Rust, and deployed a 1.5M tick/day ETL pipeline on live Nifty market data.

Technical Skills


Languages: Python, Go, Rust, JavaScript, TypeScript, Solidity, Java

ML/Quant: PyTorch, XGBoost, CatBoost, LSTM, GRU, Transformer, Pandas, Apache Arrow

HFT/Systems: WebSockets, Twisted TCP, Goroutines, Tokio (Async Rust), Apache Parquet

Backend/Infra: Node.js, Express.js, Flask, REST APIs, CRON, Hugging Face Hub, Render PaaS

Frontend: React.js, Redux, Tailwind CSS, Material-UI (MUI)

Others: Git, Docker, Webpack, JWT, Role-Based Access Control

Professional Experience


Windflux Technologies
Jan 2023 - Present
Quantitative Developer
Pune, India
  • Designed and deployed scalable ETL/ELT pipelines to process, clean, and transform massive volumes of real-time market data with ultra-low latency.
  • Developed highly concurrent backend microservices in Python, Go, and Rust ensuring millisecond-level response times.
  • Collaborated with data science teams to deploy predictive ML models and algorithmic trading logic into production.

Projects


Real-Time HFT Data Engineering Pipeline | Python, PyArrow, WebSockets, Flask
  • Designed and deployed a zero-leak, high-throughput ETL pipeline processing 1.5M+ Level-2 market ticks daily.
  • Engineered a resilient WebSocket ingestion layer handling 1,000+ TPS bursts from Angel One SmartAPI with auto-reconnect.

Education


SIBMT Pune
2021 - 2023
Master in Computer Application (MCA)
CGPA: 8.86/10.0

Certifications & Training


Full Stack Development - QSpiders