Hey there! I'm a passionate quantitative developer building lightning-fast ⚡ high-frequency trading (HFT) systems and smart investment strategies from the heart of Dubai! I wield Rust 🦀 and Python 🐍 to craft high-performance, data-driven solutions, with a sprinkle of Machine Learning (ML) 🤖 and Reinforcement Learning (RL) 🧠 for that extra edge.
🌟 What I Do:
- Develop ultra-low-latency trading engines for HFT 📈
- Optimize portfolios with ML and RL magic ✨
- Analyze markets with razor-sharp precision 🔍
- Languages: Rust 🦀, Python 🐍
- Domains: High-Frequency Trading 💹, Quantitative Finance 📊, Investment Strategies 💰
- Tech: Machine Learning 🤖, Reinforcement Learning 🧠, Low-Latency Systems ⚡
- Tools: NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Tokio (Rust), Docker 🐳, AWS ☁️
- Skills: Algo trading, market microstructure, backtesting, data analysis 📈
- Built a blazing-fast trading engine with Tokio for async processing 🦀
- Achieved sub-millisecond latency for order execution 🚀
- Integrated real-time market feeds with robust risk controls 🛡️
- Crafted an RL-based model with PyTorch to dynamically allocate assets 💰
- Used historical & real-time data for superior returns 📈
- Powered by Pandas & NumPy for slick data handling 🐍
- Developed predictive models with Scikit-learn & TensorFlow to forecast prices 📉
- Applied feature engineering for pinpoint accuracy 🎯
- Deployed on AWS for scalable, real-time trading ☁️
- Code: Rust (Tokio, async-std), Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch)
- Infra: Docker 🐳, Kubernetes, AWS ☁️, REST APIs
- Data: Bloomberg, Refinitiv, Alpaca, Binance APIs
- Others: Git, CI/CD, Linux, SQL, NoSQL
- Speed: Crafting low-latency systems that thrive in HFT ⚡
- Smarts: Using ML & RL to unlock market insights 📊
- Stability: Building robust systems with rigorous testing 🛡️
- Innovation: Pushing boundaries in quant finance 🚀
Code fast, trade smart, live bold! 🚀