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Product Experience 
Click to go straight to Software and Research Experience 

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LawPavilion

June 2023 - September 2023

Product Management Intern

  • Proposed, built, and deployed PrimeGPT, a software solution for 30,000 lawyers across Nigeria. Significantly reduced lawyers’ time spent on legal research from days/weeks to a few hours by leveraging their in-house dataset and GPT-3 to generate legal drafts.

  • Led a team of 41 interns, 2 lawyers, and 4 engineers. Managed the product end-to-end: conducted user interviews, specified product requirements, coordinated across teams, and launched the legal research software at the Nigerian Bar Association Conference.

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SantaNet

May 2020- May 2022

Founder/ Head of Prroduct

  • I led a team of 35, including web and app developers, curriculum designers, and marketing professionals, to build a non-profit management mobile app that streamlines event management, fund-raising, volunteer search, and accounting.

  • Worked with 30+ non-profit organizations, company CSR initiatives, and universities on the app before and after the pandemic to understand their needs, shadow their day-to-day process, and eventually onboard them onto our platform.

  • “Dogfooded” our app by using it to raise funds and conduct events benefiting 500+ children across India.

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ValiCyber

June 2022- September 2022

Product Management Intern

  • Devised the company’s US product and pricing strategy through market research and competitor analysis. Informed by user research, I also worked with engineers to improve the usability of the existing UI, especially for clients without a software background.

  • Identified an internal bottleneck and developed a tool using web scraping and Natural Language Processing to speed up analyzing competitor’s websites and online publications by more than 2 weeks. The results informed our marketing language and investor pitches.

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Uber

September 2022-December 2022

Product Management Intern (through Stanford’s EE205 course)

● Interviewed 75+ riders, drivers, and eaters to identify the painpoints and possibilities for Uber’s existing data exploration feature.
● Proposed a rehaul to Uber’s “Explore Your Data,” including the location of the feature, business model, analysis of increased revenue through restaurant partnerships and content suggestions to enhance user engagement.

Software and Research

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ETH Zurich - University of Zurich

January 2020 - present

Bachelor Thesis Intern

  • An ML-based software for surgeons to predict the destabilizing effect of spine decompression surgeries.

  • Support for visualisation, interpretability and uncertainty estimation. 

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University of Stuttgart

January 2020 - present

Research Intern

 Calibrating model-based offline reinforcement learning algorithms for a Blimp Controller.

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DFKI Bremen (German Research centre for AI)

April 2020 - present

Deep Learning research intern

  • Proposed a computationally efficient uncertainty quantification method for neural networks.

  • Decreased Out-Of-Distribution detection time by 3x \& studied the trade-off between performance and FLOPS.  [Code]

    Ongoing work:

  • Uncertainty-aware reinforcement learning for the control of a Franka Panda arm.

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Nanyang Technological University, Singapore

Sept. 2020 - Oct. 2020

Summer research intern - NTU India Connect Research Internship Programme

Research thesis on ’Light-weight license plate localization for traffic monitoring applications’ : Redesigned the license plate annotation, detection and evaluation pipeline from the base paper.

Optimize algorithms to run at milliseconds latency to provide real-time inference results for License Plate detection when deployed on ARM core processors. 

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Indian Institute of Science (IISc)

May 2019 - July 2019

Summer research intern @ Robert Bosch Center for Cyber Physical Systems (Rbccps)

Stair detection and estimation using Deep Learning (YOLOv3), Point Cloud Manipulation and Graphical modelling techniques

Interfaced IMU and created an I2C driver library in C.

Coded SLAM using Stereo Cameras (ZED Mini) for Autonomous Indoor Navigation of the Quadruped.

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RoboManipal 

Sept. 2017 - present

Senior member of the Coding team @ the robotics team of MIT, Manipal

  • One of the lead coders to work on Autonomous Tetris Playing bot for World Robotics Olympiad 2018 (Algorithm design, ARM programming, image processing, inverse kinematics, holonomic drives).

  • Quadruped motion optimization(ROS), simulation and deployment - ABU Robocon 19’.

  • Sensor fusion (IMU, LSAs and Sharp sensors) for the Autonomous Shuttle playing robot - ABU Robocon 18’.

  • Designed general purpose libraries and user guides for Omni-wheeled motion and remote controllers.

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Radical Health-tech

Nov. 2019 - Dec. 2019

Computer Vision Intern

  • Implement and evaluated a variety of state-of-the-art weakly supervised localisation and segmentation algorithms in Pytorch, including Guided Backprop, GradCam, FullGrad, Instance segmentation using Class Peak Response, DeepLift, to localise visual features in the Retinal images.

  • Embedded the modules into their data retrieval system, ResNet50 based classification model and Dashboard visualisations to detect features in Fundus images at Radical.

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