My Projects

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My projects encompass of topics such as fine-tuning dataset for language models, software development, reinforcement learning, and adversarial machine learning.

DocuMint: Docstring Generation for Python using Small Language Models

Benchmarked various Small Language Models on their docstring generation quality. Created a fine-tuning dataset and released it along with a fine-tuned Google's CodeGemma model.

arXiv | Code | HuggingFace

Artificial Intelligence Assignments

Developed and delivered programming assignments for graduate level AI and ML courses at University of Memphis. Topics include Deep Q Networks, Proximal Policy Optimization and Finetuning of a Transformer.

Code | Website

BarterBaron: A commerce app based on barter system trade

Developed a ebay-like commerce platform using Ruby on Rails with features such as chat, search, and user authentication. Won "Best project in the class" award.

Demo | Code

Robustness to Input Corruptions and Adversarial Examples in Steering Angle Prediction via Self-Supervision

Used self-supervised learning to enhance robustness of steering angle prediction (using ResNet50 model) under conditions such as snow, fog, frost, pixelation, and blur.

PDF | Video | Code

Latent Representation of Inputs: A Defense Against Adversarial Examples in DQN

Used feature squeezing to improve the performance of a Deep Reinforcement Learning algorithm (DQN) trained to play Atari Pong, under adversarial attacks.

PDF

Distributed Hyper-paramter tuning of Neural Networks

Parallelized the hyperparameter search (grid and random) of a Neural Network using Distributed Hash Table by sharing computational resources across multiple nodes.

PDF

Delta Design 3D Printer

Designed and developed a prototype 3D printer using Arduino Mega (Senior year Engineering project).

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