I’m a computer science engineer specialized in artificial intelligence. I’m interested in how intelligence can be engineered into reliable systems that work under real-world constraints. Working in demanding environments, including General Electric, taught me to turn complexity into production systems that deliver measurable results. My long-term goal is to build a company that creates technology with meaningful, lasting impact.
Companies I Worked With
Past Projects
December 2024 - october 2025
Amadeus Platform
A long-term platform to create and interact with virtual characters, combining full-stack engineering, MLOps and generative AI experimentation.
July - October 2024
ARC-AGI Contributions
Contributions to the ARC-AGI prize with a Python tooling framework, Kaggle deployment workflow, and entropy-based task representation research.
August - October 2023
Vocal Assistant Prototype
Amadeus prototype enabling voice interactions with a large language model, focused on HMI experimentation and real-time communication.
April 2024
Deep Learning Framework
An educational neural-network framework in Python, used to train and validate models on MNIST while demystifying core deep learning concepts.
December 2023 - February 2024
Advanced Star Collector
A reinforcement learning project building a DQN agent in a dynamic game environment with uncertainty and limited perception.
December 2023 - February 2024
Personal Finances App
An offline Electron app for portfolio allocation management, including target allocation maintenance and investment planning workflows.
April 2024
Jupyter TensorFlow GPU Environment
A practical setup guide to enable Jupyter and TensorFlow GPU acceleration on Windows for faster machine learning experimentation.
November 2023
Discord PersonaBot
A Python Discord bot connected to ChatGPT APIs, designed to emulate configurable personas for richer community interactions.