I bridge the gap between complex physical systems and scalable software architecture. As a Design and Simulation Engineer and a graduate of the 1337 coding school, I specialize in building high-performance computational models, robust backend APIs, and efficient data pipelines.

Beyond enterprise development, I am heavily involved in algorithmic problem-solving and computer science education, actively mentoring students in foundational computing and engineering concepts.

• Computational Engineering: Developing complex 3D simulations and physical models for large-scale engineering applications.
• Backend & Systems Programming: Architecting scalable APIs, local machine learning workflows, and system-level software using Python (Django/FastAPI), Rust, C/C++, and TypeScript.
• Geospatial & Data Analysis: Processing remote sensing data and digital elevation models for environmental and agricultural mapping.
• Competitive Programming: Active competitor in high-level algorithmic challenges and coding competitions.
• Mentorship & Instruction: Guiding university-level students through complex computer science coursework and lab sessions.