I build
ML Engineer & Energy Engineer crafting sustainable solutions through artificial intelligence
Where data meets impact: Building intelligent solutions for real-world challenges
Led end-to-end development of a text classification system for under-resourced languages, focusing on the critical role of data quality in equitable AI.
Fine-tuned transformer models on customer support dialogues with emphasis on handling edge cases through careful data annotation and validation.
Comparative analysis of traditional machine learning vs. deep learning approaches for sentiment classification on 50,000 movie reviews.
Developed custom OpenAI Gym environment for healthcare logistics optimization, implementing DQN and PPO agents with dynamic visualization.
Merging sustainable energy expertise with cutting-edge machine learning
My academic journey spans two complementary worlds: Energy Engineering, where I studied thermodynamics and renewable systems, and Software Engineering with specialization in Machine Learning, where I mastered AI algorithms and data systems.
This unique combination allows me to approach problems with both physical intuition and digital innovation—whether optimizing energy grids with AI or building models that understand real-world constraints.
A multidisciplinary toolkit for complex problem-solving
I'm currently exploring opportunities in ML engineering, AI research, and sustainable tech innovation