Projects

ISeeBetter: AI-Driven Duplicate Issue Detection for Open Source Contributions

Fine-tuned a BERT transformer on the PyTorch GitHub repository to identify existing open issues contextually during new issue creation, reducing duplicates and optimizing contributor efforts.

Semantic Search Transformer Large Language Model

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Stock Price Prediction Transformer

The project uses a simplified Transformer architecture to forecast stock prices based on historical price data. It includes data loading, preprocessing, model training, prediction, and evaluation phases, with an emphasis on understanding the Transformer's application in time series forecasting.

Transformer Tensorflow Time Series Forecasting

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Stock Price Prediction using LSTM

The project uses a simplified lstm architecture to forecast stock prices based on historical price data. It includes data loading, preprocessing, model training, prediction, and evaluation phases, with an emphasis on understanding the Transformer's application in time series forecasting.

LSTM Tensorflow Time Series Forecasting

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Eigenface-PCA Facial Recognition System

Implemented eigenface analysis for facial recognition, calculating the mean face and performing PCA from scratch, achieving 85% accuracy rate for face reconstruction with k = 15.

PCA Computer Vision

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Academic Lease: Connecting Students for Lease Transfers

Engineered AcademicLease.com, a social platform for connecting students across 1100+ US universities for lease transfers, including automated CI/CD pipeline for Google Cloud Platform deployment.

Google Cloud Flask Python

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Leet-Classifier: Automatic Organizing of LeetCode Submissions

Developed 'Leet-Classifier,' a Python-based tool that automates classification and organization of LeetCode submissions by parsing metadata for intelligent sorting, aiding in programming interview preparation.

Open Source Python

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Presidential Speeches Search Engine

Implemented a search engine on a corpus of US presidential inaugural addresses, generating TF-IDF vectors and using cosine similarity for query responses.

Data Mining TF-IDF Python

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Python Library for Multi-Layer Neural Networks

Developed a Python library with NumPy for constructing and training neural networks, processing inputs to efficiently output weights, mean error, and predictions.

Machine Learning Neural Networks

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High-Fidelity MNIST Digit Generation with GANs

Developed and trained a Generative Adversarial Network (GAN) on the MNIST dataset, achieving optimal error rates and accurately classifying digits with a discriminator model and generating digit images with a generator model.

Neural Networks GenAI Tensorflow

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Enhancing CIFAR-10 Performance with Transfer Learning

Designed and trained a custom CNN model on the CIFAR-10 dataset, assessing improvement through transfer learning with a pre-trained VGG-16 model.

Neural Networks Tensorflow

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Vector Clocks for Event Ordering in Distributed Systems

Created a vector clock mechanism from scratch for event sequencing in distributed environments, ensuring precise coordination across systems.

Distributed Systems Vector Clocks RPC

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Comprehensive Wallet Management System with Spring Boot

Designed and implemented a comprehensive Spring Boot application featuring a suite of financial transactions, including user registration, login, wallet funding, peer-to-peer money transfers, transaction reversal, and passbook generation. Integrated with MySQL for robust data management and persistence.

SpringBoot Java MySql

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