About Me
I am a Mechatronics Engineer Candidate with a passion for building intelligent systems that interact with the physical world. My work sits at the intersection of Control Theory, Machine Learning, and Embedded Systems.
Unlike traditional software engineering, I focus on the "brain" of the machine—how it perceives, decides, and acts. Whether it's designing a robust controller for a drone or implementing a reinforcement learning agent for a walking robot, I strive for a balance between mathematical rigor and practical implementation.
Systems Thinking
I don't just see code or circuits; I see the entire system dynamics. Understanding the interplay between hardware constraints and software logic is central to my approach.
Interdisciplinary
Comfortable navigating between Mechanical models, Electrical interfaces, and Computer Science algorithms. I speak the language of all three domains.
Research Driven
I believe in evidence-based engineering. I read papers, implement state-of-the-art algorithms, and contribute back to the knowledge base through my own publications.
Interests
- Robotics
- Reinforcement Learning
- Autonomous Systems
- Explainable AI
- Embedded Control