About me

I'm passionate about reinforcement learning, robotics, control systems and optimization theory. I completed my B.Tech in Electrical Engineering from the Indian Institute of Technology Roorkee with CGPA of 9.3/10, where I built a strong foundation in both theory and practical applications. Currently, I work as a Staff Controls Engineer at Enphase Energy, where I focus on developing and refining control strategies for both new and existing energy products.

I have prior research experience from Nanyang Technological University (NTU), Singapore, where I worked on image processing algorithms to train an Unmanned Surface Vehicle (USV) for autonomous task execution.

Outside of work, I stay active by playing badminton, volleyball, and engaging in regular workouts. When I'm not on the court or in the gym, you'll often find me playing the flute, gaming, reading books, or watching movies.

I enjoy turning research ideas into practical applications and sharing my implementation experiences through articles. I value clean, readable, and self-contained code—Python is my language of choice.

Research Internship at NTU

This blog entails the experience I had during my research internship at NTU. This blog was also submitted to WatchOut(Media body of IITR)

Optimal PID gains calculation using gradient descent

Optimizing PID Gains with Gradient Descent for a Second-Order System with Delay

Projects

Few projects that I did. Some are hobby ones and some are part of coursework/professional life.

Motion detection tool for home CCTV camera

A Python-based CCTV surveillance tool that fetches multi-camera streams, detects motion in real-time, records clips, and sends instant Telegram alerts—all while managing storage and logs automatically

News and Notes App

This app would show the news and also you can take/delete notes

Get in touch

Whether you're interested in collaborating on research, working together on an open-source project, or just want to say hi—I'd love to hear from you! I'm always open to meaningful conversations around control systems, robotics, reinforcement learning, or anything tech-related.