Computer Science Student

Cincinnati, OH, USA

Hi there

I’m Ayushi, a computer science student with a math minor! I like reading and rock climbing. Professionally I am interested in computer vision and reinforcement learning. My favourite project is an RL agent that plays Atari pong. I have also studied information retrival and and developed a job-matching tool using Natural Language Processing. My projects are driven by my real-world interests and I try to make complex machine learning concepts more interactive and user-friendly. I’m always looking for opportunities to apply machine learning in creative, meaningful ways, especially where tech meets human needs.

Education

University of Cincinnati - Bachelor of Science in Computer Science, GPA: 3.6/4.00 (Expected Graduation: May 2026)

Relevant Courses: Deep Learning, Information Retrieval, Malware Analysis, Theory of Formal Languages & Automata, Linear Algebra, ...

Internships

Research Internship on Reinforcement Learning based AI Agent

I worked in a team to develop a Deep Q-Learning (DQN) agent for a physical therapy assistant that optimizes patient training schedules. We designed a custom reward system and agent logic to adapt to patient skill levels and success rates, enhancing personalized care using reinforcement learning.

Reinforcement Learning based AI Agent

I created a game of Pong using reinforcement learning (Machine learning) and Deep Q-Learning (DQL) algorithms, teaching an AI to play the game from scratch without human instruction, with a 100%-win rate. Click the button to play against it!

Peer Tutor Coordinator

As a peer tutor Coordinator I have trained, mentored and onboarded new tutors each semester, and fostered a supportive environment for their professional growth. I was promoted from Peer Tutor to Peer Tutor Coordinator based on exceptional performance, including a 97% tutor and student satisfaction rate. I also keep track of metrics such as appointments booked for the program which is used in making future hiring decisions!

Projects

Job Recommendation System (January 2024 - April 2024)

Built a Word2Vec model with Gensim to evaluate the most suitable job based on title and requirements. Trained the model on a dataset of 30,000 jobs and coded a web scraper with Node.js to collect job descriptions.

MakeUC Hackathon (November 2023)

Utilized a pre-trained machine learning model YOLO to create a website for recognizing objects and reading text aloud for blind users. Hosted the solution on Azure for seamless accessibility and reliability.

Project on Database Management (June 2019 - December 2019)

Developed an interactive GUI using the tkinter module in Python with MySQL as the backend to store data. The app allows users to interact with the database to add, update, and delete records.