Mar 2023 – Jun 2025 · 2 yrs 3 mos · Santa Monica, California, United States

• Detection Team, Autonomous Vehicles
• Led ML projects to use Lidar, Camera & Radar and their fusion in multiple views for various tasks of 3D object detection, segmentation, tracking.
• Recipient of company’s top award “Mobilizer” for the most significant impact across the company and teams.
• Hosted company wide bi-weekly ML reading group during whole tenure since I joined company to keep code up-to-date with SOTA research.

Mar 2022 – Mar 2023 · 1 yr · Santa Monica, California, United States

• Lidar - Detection Team, Autonomous Vehicles
• Continued working with Lidar Team, handling more responsibilities & helping grow the team from Lidar only to multi-sensor Detection.

Jul 2020 – Mar 2022 · 1 yr 8 mos · Santa Monica, California, United States

• Lidar Team, Autonomous Vehicles
• As the first hire of Lidar team, solved most critical on-road issues of AVs with 3D object detection with lidar (Range View & Birds Eye View) & camera fusion.
• Worked on full pipeline from planning, research, data collection, model development & training to deployment & metric testing on robo-taxis.

May 2019 – Aug 2019 · 3 mos · Boston, Massachusetts, United States

• Autonomous Vehicles Team, nuTonomy
• nuTonomy launched world’s first robo taxi in 2016. In 2017 Delphi acquired nuTonomy to form Aptiv. In 2019 Hyundai invested in this small team to form Motional.
• Made ML based temporal camera-lidar fused end-to-end 3D object detector, tracker and predictor.

Aug 2017 – Jul 2018 · 11 mos · Singapore

• Autonomous Vehicles Team, Energy Research Institute at NTU (ERI@N)
• Founding member of team to make AVs for Singapore govt. in collab with LTA (Land Transport Authority), ABB, SMRT ( schools, airport, parks).
• Automated EV from scratch & passed CETRAN self-driving test.
• Conducted detailed research and placed orders for sensors, microcontrollers, CPU/ GPU, tools, software, hardware.
• Made plug & play drive-by-wire kit to precisely control AVs with PID using encoders & microcontrollers with less than millisecond lag.
• Developed ML based 3D object detection using multi view cameras & stereo camera pointclouds.
• Developed lane keeping software robust to colors, sizes and lighting.

Aug 2017 – Jul 2018 · 11 mos · Sweden

• Autonomous Buses Team
• Founding member of the joint project with NTU for world’s first self-driving buses. Pivotal role to pass CETRAN track self-driving test.
• Simulated self-driving with sensors (Lidar, IMU, Camera, GPS, Radar) to increase FoV for mounting.
• Converted the 2D SLAM module to 3D. Implemented offline NDT camera-lidar fused 3D mapping.

Jun 2016 – Aug 2016 · 2 mos · Bangalore, India

• Developed 1 out of the 7 features (Feedback) of company’s android app Practo Pro (Asia’s #1 app for Doctors) to help doctors manage patient feedbacks.
• In company’s weekly top 10 devs list every week.
• Implemented data binding, MVVM architecture & extensive profiling (strict mode, memory dumps, overdraws, traceview, systrace, hierarchy view) to significantly improve on speed & memory.

Apr 2016 – Sep 2016 · 5 mos

• Google Summer of Code (GSoC), dhis2 org
• Made base SDK, re-developed main app with it.
• Improved main app’s UI/UX, added extra features.
• Implemented MVP arch., RxAndroid, Dagger2.

Nov 2015 – Jan 2016 · 2 mos

• Developed their default app to find service centers in a fun way.

Jun 2015 – Aug 2015 · 2 mos · Delhi, India

• Developed multilingual apps to compare and make insurance buying fun with interactive gamified UI.

Jan 2015 – Jan 2016 · 1 yr · San Francisco Bay Area

• A social network around video streaming. 24x7 voting based live channels app with automatic video creation with audio and images. Won the global hackathon AngelHack, converted our product into a startup and attended the accelerator HACKcelerator 2015.

Dec 2014 – Feb 2015 · 2 mos · Delhi, India

• Developed 1st version of their android app for pooling in and settling money (“SplitWise” of India).

Jan 2014 – Jan 2015 · 1 yr · Delhi, India

• Made app for live level-wise discounts at restaurant & salons by scanning QR codes with a gamified UI/UX, feature to unlock better deals with more visits.