I am a Software Developer and Data Scientist with a wide ranging skillset, from web development to deep learning, to embedded systems programming. However, my most useful skill is the ability to pick up new skills quickly and apply them to solve problems, which gives me the confidence and ability to systematically tackle any novel problems I encounter.
NDA 🤫
Testing the feasibility of UAV reconisance in GPS-denied closed-space environments. Developed a bridge application to interface with DJI drones through Python code.
Developed an inhouse Exploratory Data Analysis tool for the team and beyond. Optimized the general MLOps pipeline for the team's projects.
Incharge of taking practical Lab Sessions pertaining to digital circuits, logic gates and microcontrollers and teaching the relevant matter to students.
Created the UI in Flutter and worked on the API endpoints in Django for the web application for the startup from scratch, to build a minimum viable product for demonstration to VCs.
Research focused primarily on learning based control of Unmanned Aerial Vehicles through Deep Reinforcement Learning under advisor Harikumar Kandath.
Incharge of organizing and conducting workships and events for promoting open source development and contributing to open source projects for the student body.