I stand at the intersection of Physics and Computer Science. My background is in Statistical Computational Physics with a focus on Complex Systems, Stochastic Optimization and Random Matrix Theory. My interests extend from Data Science to Software Engineering with projects in Time Series Analysis, Reinforcement Learning and Full-Stack Development.

Languages:

Libraries: tokio, ndarray, serde, faer-rs, NumPy, SciPy, Pandas, scikit-learn, matplotlib, PyTorch, Tensorflow, DataFrames.jl, Plots.jl, Makie.jl

Tools: Linux, Nix/NixOS, Docker, SQL

Projects applying physical laws and rigorous math to solve complex problems.

• tsp-sa

  High-performance Simulated Annealing in C++ Implementation of stochastic optimization algorithms to find global minima in combinatorial problems.

• *artificial-systems

  High-performance Complex Systems Simulation in Rust Modeling artificial environments to study emergent behavior and system dynamics.

• ts-cov-matrix

  Time Series Random Matrix Analysis Tools for analyzing correlations in time-series data, drawing on concepts from Random Matrix Theory.

A complete implementation of the Sternhalma (Chinese Checkers) game, featuring a backend server, web frontend, and an autonomous playing agent.

• Game Server: The backend logic handling game state and multiplayer connections.
• Web Interface: The interactive frontend interface for the game.
• RL Agent: An AI agent trained to play the game using Reinforcement Learning.

• json-parser

  Simple JSON Parser. A from-scratch implementation of a JSON parser, built to better understand parser combinators.

I actively maintain several repositories dedicated to algorithmic mastery and mathematical puzzles.