MN

About Me

Software engineer, problem solver, lifelong learner.

My Story

I'm Mukesh — a software engineer who genuinely enjoys the craft of building things. I started writing code in college, drawn in by the ability to turn ideas into something real and useful. Five years later, that excitement hasn't faded.

Over the years, I've built across the full stack — React frontends that feel snappy, Node.js and Python APIs that scale under pressure, and cloud infrastructure that actually stays up. I care about both the product experience and the engineering underneath it.

More recently, I've been deep in the AI space — integrating LLMs into real products, building RAG pipelines that retrieve relevant context at scale, and figuring out what "production-ready AI" actually means in practice. It's messy and exciting, and I'm all in on it.

I'm currently pursuing an MS in Computer Science, which has given me the time to go deeper on distributed systems and machine learning theory — concepts that directly inform how I think about building reliable, scalable software.

When I'm not shipping code, I'm usually reading about system design, tinkering with side projects, or explaining embeddings to people at coffee shops who didn't ask. If you're building something interesting, I'd love to hear about it.

My Journey

Key milestones over five years of engineering.

2020

B.Tech in Computer Science

Graduated with a B.Tech in Computer Science. Built my first production web app using React and Node.js during an internship.

2021

Backend Engineering

Focused on REST API design, database architecture with PostgreSQL, and microservices. Shipped features used by thousands of real users.

2022

Cloud & DevOps

Adopted cloud-native patterns on AWS and GCP. Containerized apps with Docker, built CI/CD pipelines, and implemented observability.

2023

Graduate Studies

Started an MS in Computer Science, deepening knowledge in distributed systems, machine learning, and software architecture.

2024–25

AI & Full-Stack Engineering

Built AI-powered products integrating LLMs and RAG pipelines. Delivered full-stack applications across fintech, healthcare, and SaaS verticals.

Education

2023 – 2025

Master of Science, Computer Science

University — United States
Focus: Distributed Systems, Machine Learning, Software Engineering
2016 – 2020

Bachelor of Technology, Computer Science

University — India
Core CS fundamentals, data structures, algorithms, networking

A Few Things About Me

I debug at 6 AM with a cup of chai.

I've contributed to open-source projects with 500+ GitHub stars.

I can explain RAG pipelines to a 5-year-old (with props).

I once built a weekend project that turned into a production system.