About Me

I am a computer science and machine learning practitioner passionate about building intelligent systems and solving complex algorithmic challenges. From competing in high-stakes algorithmic programming contests to developing custom machine learning pipelines, I thrive at the intersection of mathematical theory and practical software engineering.

My experience spans building full-stack applications, fine-tuning machine learning models using PyTorch and ensemble methods, and implementing computer vision solutions. Whether optimizing autonomous vehicle models, analyzing real-time aerial telemetry, or tackling competitive programming problems, I focus on writing efficient, scalable, and modular code. Driven by continuous learning, I am eager to contribute to forward-thinking technical projects and collaborative engineering teams.