EK
Eduard Kechedzhiev
Quantitative Developer & Systems Programmer
Building quantitative trading systems and performance-critical applications. Focused on machine learning, systems programming, and financial modeling.
About Me
Who I Am
2A Mathematical Finance student at University of Waterloo. I build systems that turn data into decisions—mostly around markets, optimization, and pattern recognition.
What I'm Looking For
- •Co-op positions in quantitative research, data science, or financial engineering
- •Opportunities to build things that matter
- •Teams where I can learn from experienced practitioners
Location
Waterloo, ON
Current Focus
Risk management systems and ML for financial markets
Tech Stack
PythonRustCPyTorchTransformersOpenGLPandasNumPy
Featured Projects
portfolio_optimizer
Portfolio optimization using Modern Portfolio Theory with historical data analysis
PythonPandasNumPy
trends
ML model for market regime classification with 71% OOS accuracy
PythonPyTorchTransformers
trading_strat
Advanced backtesting framework with interactive visualizations
PythonPandas
chess_engine
High-performance chess engine built with Rust and OpenGL rendering
RustOpenGL
dwl
Customized fork of dwl Wayland window manager
C