About
I am an engineering student driven by the belief that the best systems are built at the intersection of deep technical knowledge and clear product vision. My work spans artificial intelligence, full-stack development, and systems architecture — always with a focus on production readiness and real-world impact.
I approach every project as a product: understanding the problem deeply, designing modular solutions, and building with the discipline required for systems that scale. Whether it is training a neural network or architecting a microservice, the standard is the same — clean, robust, and future-proof.
Areas of Focus
Artificial Intelligence
Designing and training neural networks for real-world applications — from leak detection with LSTMs to physics-informed models for thermal dynamics.
Systems Engineering
Building robust, scalable architectures with clean separation of concerns. From microservices to digital twins, every system is designed to evolve.
Product Thinking
Engineering is not just about code. It is about solving real problems with clarity, precision, and a relentless focus on impact.
Optimization
Whether it is algorithm performance, model accuracy, or user experience — I obsess over making things faster, smarter, and more efficient.