New Delhi, Delhi, India
I'm a tech enthusiast with a strong interest in both machine learning and circuit design. My curiosity drives me to explore how software and hardware can work together to solve real-world problems. Currently, I'm deepening my understanding of ML models and their practical deployment, while also nurturing my passion for hardware engineering as an Electronics and Communication Engineering student. I aim to bridge the gap between intelligent algorithms and efficient hardware to build innovative, integrated solutions.
-Automated internal release workflows using Docker, Podman, Python, and Inno Setup to enable reproducible builds, reduce manual effort by 60%, and streamline deployment across multi-environment pipelines. -Integrated SVN and RBCommons with custom CI scripts to accelerate code reviews and improve traceability across legacy infrastructure, while also contributing to container hardening and security optimization initiatives.
Worked on Project Loki, which aimed at improving the organization's model reasoning and software capabilities. Worked on various Github repos from finding bugs/issues to resolving and fixing them using tools such as pandas, pandas-dev, numpy, scipy, and React Js
-Implemented Centralized and Decentralized algorithms for optimal charging station placement on 2D grid workspaces with obstacles using a randomized greedy strategy to maximize partial coverage while minimizing overlap under strict constraints. -Covered and prioritized 50% of the Coverage area and reduced the time taken to cover the target area from ~5 mins to under 10 secs. -Made use of the ROS software to implement and check for proper functionality of the code and logic.