Associate Data Scientist

• Jun 2023 - Present

Course Assistant

• Aug 2022 - Present

- Held office hours for 5+ hours every week to assist a subset of 500+ students with coding problems, machine projects and understanding conceptual issues.- Presented a revision of the course material taught during the week and solved conceptual issues for 3 hours every week during discussion sections.

Research Assistant

• Aug 2022 - Jun 2023

As a part of PURE research, I am working on creating a more accessible way for users to interact with neural radiance fields (NeRF) and render 3D views of their images. My tasks include:- Researching and experimenting with different NeRF implementations- Implementing InstantNGP with NerfAcc to facilitate faster NeRF training speeds- Working in a team of three to create a backend system that takes in input images to train NeRF on using FastAPI

Technical Lead

• Jan 2023 - Jun 2023

- Spearheaded a 7-member team using DevOps methodologies to establish an ETL pipeline- Orchestrated and overlooked the development of an innovative web crawling method to efficiently crawl and mine company ESG reports to create public infrastructure of company sustainability documents- Managed and directed the creation of a sophisticated multimodal knowledge extraction system for domain-specific unstructured documents, leveraging advanced natural language processing (NLP) and computer vision (CV) methodologiesIn this role, I have gained experience in leading agile development teams, honed my MLOps skills - creating scalable ML and data infrastructure. Show less

Software Engineer

• Sep 2022 - Jan 2023

Disruption Lab is a professional software consulting academic unit that offers services to corporate clients nationally, with a special focus on disruptive technology such as AI/ML and Blockchain. As a software engineer, I am- Working in an Agile development team on creating an NLP model that generates Smart Contracts in solidity.- Analysing and evaluating the model using NLP standards and benchmarks

Course Assistant for CS124

• Jan 2022 - May 2022

- Recorded coding walk-through videos to explain topics regarding object-oriented programming to 300+ students - Assisted students on conceptual issues, coding problems and machine projects on the help site for the class for 4 hours a week - Reviewed course materials including quizzes, coding walk-throughs, and homework questions - Recorded coding walk-through videos to explain topics regarding object-oriented programming to 300+ students - Assisted students on conceptual issues, coding problems and machine projects on the help site for the class for 4 hours a week - Reviewed course materials including quizzes, coding walk-throughs, and homework questions

Ambassador

• Oct 2020 - Jan 2022

Teaching Assistant at a Python and ML summercamp

• Jun 2020 - Jun 2020

As a teaching assistant for an online summer camp held by CampK12 for middle school and high school students, I taught the basics of python, image processing using OpenCV and machine learning. My role included assisting the main instructor during the sessions by - helping clear individual student doubts. - co-developing lessons and assignments on python, machine language and image processing (using OpenCV). - teaching some of the topics and exercises. - devising new ways to improve student engagement (one of which included having the final presentations be in the form of shark tank where the student got to pitch their ideas). Show less

Student Intern

• May 2019 - Jun 2019

This internship with Awiros was on the project “Exploring Machine Learning and Computer vision”. Over the four weeks, I learned about concepts ranging from the basics of machine learning to a more in-depth study of computer vision. During this period, I learned to apply: - Python (numpy) - The basics of machine learning (particularly, computer vision-based classification problems) - TensorFlow - The use-cases for Convolutional Neural Networks - An introduction to the higher math surrounding machine learning: - gradient descent and its relation to backpropagation - the sigmoid function Show less

Student Intern

• Dec 2018 - Jan 2019

In a 2 week-long internship with Roadzen, a tech start-up that is transforming global Insurance using Mobility and AI, I had the opportunity to explore Artificial intelligence in the insurance sector. The first half of the internship consisted of getting familiarised with common terms used in the industry - big data - deep learning (neural nets) - control signals - machine learning (supervised, unsupervised, reinforcement) - regression, classification, hyperparameters In the second half, I explored the following topics in greater detail (how they play a part in the insurance sector) - Convolutional Neural Networks - Image Recognition (computer vision) Show less

Summer Research Intern

• Jun 2018 - Jun 2018

As a group of 4 students, we wrote a research paper describing potential policies that could be employed to result in people shifting towards more sustainable means of transportation. - Surveyed people on the streets of Lajpat Nagar about air pollution in Dehli and sustainable transport to understand why people avoid public transportation - Collected more primary data by conducting an online survey about the same topic - Tested advocacy campaigns on the ground about air pollution - Conducted secondary research about behavioural economics and how it can be used to incentivise the public into using more sustainable transport - Made social media content advocating for sustainable transport Show less