Jun 2021 – Jul 2024 · 3 yrs 1 mo

• Focusing on Backend Development, Prompt Engineering (ChatGPT) and SQA. Simultaneously upgrading my skills and knowledge about the domain of Artificial Intelligence and Software Development. I had joined an Online Post-graduate Course from University of Texas, but later I dropped that course and prepared for GATE exam within 5 months and joined a Full time M.Tech ( CSE ) at National Institute of Technology.

Aug 2018 – May 2021 · 2 yrs 9 mos

• COMPANY PROJECTS
• Project Name: NVIDIA DRIVE (Autonomous Vehicle Development Platform)
• Technologies and Platform: C, C++, Shell Scripting and Python, Linux
• Role & Responsibilities: Working as a QA professional, developing tools (Concept, Design and Architecture) and paradigms to improve the quality of NVIDIA’s DRIVE platform. (Autonomous Vehicle Development Platform) My main task is to understand, test and find issues in Autopilot software and help to fix it. Hands on work experience in creating test cases and using the same to perform Black-box, White-box, Stress, Stability, Security and Functional testing. Also designed and developed tools and techniques using Shell Scripting and Python using technologies like Matplotlib, NumPy, Pywavelets and OpenCV.
• 1) For Drive AR: Augmented Reality middle layer for fusing multiple sensor data onto a single display
• Technologies and Platform: C, C++, Bash / Shell Scripting, JSON, Linux
• Performed testing and identified issues in Camera Stitching and Sensor data fusion pipeline.
• 2) For Drive SW: Drive AGX E2E testing and validation for customer releases
• Technologies and Platform: C, C++, Bash / Shell Scripting, JSON, Python, Linux
• Performed E2E validation to ensure a safe and steady autonomous driving experience.
• 3) For VT Project: Constructing & testing scenarios to be used to validate Autonomous driving algorithms.
• Technologies and Platform: C, C++, Python, Linux
• Developing scenarios and evaluators for use with Drive sim / Drive Constellation project to allow E2E open and closed loop testing of autonomous driving algorithms.

Aug 2018 – May 2021 · 2 yrs 9 mos

• COMPANY’S SIDE PROJECTS
• Project Name: A system to automate accuracy of stitched images from proprietary library.
• Technologies and Platform: OpenCV, Matplotlib, Python multiprocessing (mimic C++ style array handling to use with GPU), Linux.
• Role & Responsibilities: Designed API and connected parts of the system (automatic image distortion type detection CNN + image analysis algorithm using SIM) to provide high speed checking to the already proven accuracy of image analysis. Image analysis algorithm partly rewritten to leverage GPU concurrency. Image analysis technique based on SSIM image comparison algorithm with added color and intensity matching algorithms for finding differences between stitched overlap and original images to test excessive/malformed distortion or missing data.
• Project: A system to test a self-driving car’s activity in a simulator in real-time.
• Technologies and Platform: Python (mimic Java style framework design), Linux.
• Role & Responsibilities: Designed Framework with concurrency in mind to allow for real-time validation of SDC algorithm Auto-generated summary at the end of test annotated with test parameters to improve reference and tracking of issues.