I earned my PhD in Applied Machine Learning in December 2023 and currently work at an AI startup. My background combines hands-on expertise in Machine Learning, Large Language Models (LLMs), Software and Network Engineering, and Robotics. I am highly motivated to drive innovation and contribute to the growth of cutting-edge technology industries.
Professional Experience
Research & development of machine learning techniques for financial data analysis, including fine-tuning and optimizing data processing pipelines.
Advanced Python for AI, Business Intelligence, and programming.
Education & Qualifications
Thesis: Meta-Decomposition & Evaluation in Machine Learning Applications
Research Project: Travelling salesman problem in disaster situation
Project Title: Automatique Software Quality Measurement