Jan 2024 – Oct 2025 · 1 yr 9 mos

• assisting

Oct 2022 – Feb 2024 · 1 yr 4 mos

Jun 2021 – Feb 2024 · 2 yrs 8 mos

May 2020 – Aug 2020 · 3 mos

• 1. Satellite Imagery Platform: Built new system for faster access of areas of interest for users in the UI using Cloud Optimized Geotiffs and storage of locations using a quadkey based approach. The system also integrated into providing high quality data for data science downstream processes.
• 2. Acceleration of processes: Accelerated this new platform on GPU’s, and demonstrated a much faster version of the platform using multi-threading.
• 3. Datacube: Wrote code for storing time series data and vegetation indexes from multiple satellite data sources and storing these multidimensional array representations in a database for easy querying. Demonstrated this system using Folium and Leaflet.js on interactive maps.
• 4. Impact: Work is currently being productized for it’s speed and effectiveness by Platform and Data Science Teams.
• Tech: JavaScript, Python, Leaflet.js, Django, PostgreSQL

Apr 2019 – Apr 2021 · 2 yrs

• 1. Self Driving Car - Mahindra Rise Challenge
• Built circuits for the self driving car to switch between autonomous and free modes without the use of CAN bus.
• Implemented Frenet Frame based obstacle avoidance to go along with Lidar based Occupancy and Costmaps for motion planning.
• Implemented different sensor fusion algorithms for finding GPS waypoints and scene understanding using LiDAR and stereo based approaches.
• 2. Collision avoidance framework: Building non holonomic collision avoidance for real-world indoor scenes using novel methods (accepted to ECC’21).
• 3. Stereo vision: Implemented many classical and deep learning stereo vision algorithms for use in practical scenarios.
• Tech: MATLAB, Python, ROS.

Jun 2018 – Sep 2018 · 3 mos · Bangalore

• 1. Research in Computer Vision at the Video Analytics Laboratory (Computation and Data Science Center) under Professor Venkatesh Babu, working for PhD student K Ram Prabhakar.
• 2. Problems tackled include deghosting of images and image segmentation using siamese neural networks and Mask R- CNN's.

May 2015 – Jan 2016 · 8 mos · Bangalore

• 1. Intern under Mr. Anand Srinivasan, Associate Vice President, Global Logic as a high school student.
• 2. Trained in GPS, GPRS and IoT systems apart from communication concepts like OSI and SS7 protocols.