Training AI to do superhuman tasks, CS Masters @ Cornell University
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Cornell University
Data Scientist
June 16, 2026 – Present
cs4756-robot-learning-sp23
January 5, 2023 – March 23, 2023
cs4756-robot-learning-sp23 — GitHub repository
View ProjectAI-Traffic-Management-System
September 9, 2020 – September 9, 2020
This project aims to bring AI to the Traffic controlling network, and subsequently reduce the need for human intervention by optimizing red light timing. This project calculates the amount of traffic at intersections and changes the timing of each red light to ensure a smooth flow of traffic.
View ProjectAI-Assetto-Corsa
July 18, 2020 – September 10, 2020
This project aims to use a combination of imitation learning and reinforcement learning in order to play Asseto Corsa by learning new policies from expert samples and reward function. These policies are a combination of a function of minimizing the difference between expert moves and the maximizing the reward.
View ProjectBookFlix
September 27, 2019 – September 10, 2020
This project implements AI on top of a classical book management system, and aims to easy the process of picking out books from a wide collection. Picking out book is very difficult, and often takes a lot of time, that time can be better spent in reading the book. BookFlix takes the user's favourite books, and them uses collaborative filtering using Tensorflow, to predict what kind of books from the library are according to the user's preferences. This project thus helps the user maintain the library of books he wants toread, is reading, and also helps him in 'nding the books he could be interested in reading in the future.
View ProjectFace-Recognizer-with-Convolutional-Neural-Network-CNN
February 3, 2018 – February 3, 2018
An algorithm to capture, process, and train a CNN to recognize people.
View ProjectGoogle-Stock-Price-Predicition-Challenge
February 3, 2018 – September 9, 2020
An algorithm to predict stock price. It has been trained on Google’s stock price data from last 5 years to predict Google’s future stock price. It has been prepared using Time-Series-Analysis using Recurrent Neural Network (RNN)
View ProjectTweeter
February 3, 2018 – September 9, 2020
Designed a powerful algorithm, which pulls tweets by topics and has a custom NLPA trained model for sentence modeling using many methods such as “Bag of Words” method, to accurately predict the sentiment of a tweet and confirm the entity’s in the sentence.
View ProjectCanvas
February 3, 2018 – February 3, 2018
An IOS App using CoreML to successfully detect numbers from a handwritten number
View ProjectTraffic-Detection-using-openCV
January 14, 2018 – September 9, 2020
Using a raspberry pi with a camera to detect the number of vehicles passing through a particular section of the road in a period of time
View ProjectCultural Fit Analysis
The candidate's extensive list of personal projects, particularly in AI/ML, suggests a strong passion for the field and a self-starter mentality. This aligns well with a culture that values innovation and continuous learning. The diversity of projects (iOS app, robotics, traffic management, recommendation systems) indicates a broad interest in applying data science across different domains. However, the lack of team-based projects or professional experience beyond a future role at Cornell University makes it difficult to fully assess cultural fit in a collaborative corporate environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a proactive and self-driven approach to learning and applying AI concepts.