- ๐ง Approach: Problem-solving through elegant, maintainable code
- ๐ก Passion: Merging quantitative analysis with modern computing
- ๐ Goal: Build systems that scale and perform
- ๐ Focus: Quantitative Finance ร Deep Learning
- Primary: Quantitative Trading & Crypto Market Intelligence
- Methods: Deep Learning, Time-Series Forecasting, Dimension Reduction
- Tech Stack: SDR (MAVE, OPG, KSIR), GPU Computing, Parallel Processing
Languages & Frameworks
- ๐ Python | ๐ข MATLAB | ๐งฎ SQL | ๐ LaTeX
- ๐ฎ CUDA | ๐ Docker | ๐ง Linux
ML & Data
- Deep Learning | Time-Series Analysis | Statistical Modeling
- Dimension Reduction Techniques | High-Performance Computing
Specializations
- ๐ Quantitative Finance & Algorithmic Trading
- โก Parallel Computing & Performance Optimization
- ๐ฎ Cryptocurrency Market Prediction




