I’m a results-driven engineer with a strong background in embedded systems, control engineering, AI-driven modeling, and MATLAB-based analysis and simulation, with hands-on experience bridging theory and real-world implementation.

My core expertise lies in embedded systems design, where I’ve worked with microcontrollers and hardware–software integration for industrial-style applications. I have practical experience building and testing systems involving signal conditioning, isolation (e.g., opto-couplers), and reliable interfacing under noisy or high-voltage conditions—areas where robustness matters more than just functionality.

I also have solid experience using MATLAB and Simulink for:

• Control system design and simulation
• Signal processing and data analysis
• Modeling dynamic systems and validating theoretical concepts
• Rapid prototyping of engineering algorithms before hardware deployment

On the software side, I specialize in Python and PyTorch, developing advanced pipelines for scientific and engineering problems. Most notably, I’ve been actively working on an RNA 3D structure prediction pipeline as part of a competitive data science challenge. This project involves designing multi-stage architectures combining graph neural networks (EGNN), torsion-based representations, and energy-based models (EBMs) for refinement. Through this, I’ve gained deep experience in:

• Geometric deep learning and 3D structure modeling
• Optimization techniques (gradient-based + physics-inspired methods)
• Handling large-scale structured data and performance constraints
• Building modular, production-style pipelines with logging, checkpointing, and debugging strategies

I also have a solid foundation in electrical power systems, including protection and relay coordination, with an understanding of how theoretical protection curves translate into real digital relay implementations.

Beyond technical skills, I focus heavily on problem-solving, debugging complex systems, and optimizing performance—especially in cases where multiple domains intersect (hardware, software, and physics). I’m comfortable working independently on complex problems and iterating quickly to reach practical, high-quality solutions.

Overall, I bring a mix of hands-on engineering, advanced modeling, and system-level thinking, with a strong ability to turn complex ideas into working, efficient solutions.