Hi, I’m Mukesh — a computer science graduate and software engineer who enjoys building things and figuring out how they work under the hood.

I’m particularly interested in AI, backend engineering, and full-stack development. I like working on problems that make me think, whether that means building an AI application, designing a backend service, experimenting with a model, or simply trying to understand why something isn't working.

Over the course of my projects and research, I’ve built RAG applications, REST APIs, data pipelines, machine learning systems, and full-stack applications using Python, Java, Go, FastAPI, Next.js, MongoDB, and PyTorch.

I’ve also had the opportunity to work on research around CNN model compression, where I explored pruning, quantization, and evolutionary optimization to make deep learning models more efficient and practical to deploy.

What I enjoy most is taking something from an idea to something that actually works. I’m always curious about what happens underneath — from the model and the data to the APIs and infrastructure that bring everything together.

Right now, I’m focused on becoming a better engineer, building scalable and intelligent systems, and learning something new with every project I take on.