Projects

Resolved

Resolved

Hackathon winning multimodal complaint analysis platform for a fintech startup

Key Highlights:

  • Integrated Google Cloud APIs, AssemblyAI, and OpenAI for analysis, summarization, and classification

  • Built an AI chat interface that delivered tailored insights using Pinecone-powered contextual retrieval across 1,000+ multimodal cases

  • Reduced processing time by over 70%, streamlining workflows and accelerating resolution

TypeScript (Next.js)
Python (Flask)
PostgreSQL
OpenAI
Pinecone
RAG
GhostLink

GhostLink

Paid platform for content creators to boost interaction and growth on LinkedIn

Key Highlights:

  • AI-driven video-to-text workflow for automating transcription and post creation

  • RAG pipeline guided by top-performing LinkedIn posts (50K+ impressions, 500+ reactions) to enhance engagement and align with creator success patterns

  • Collaborated with creators (totaling 1.5M+ followers) and refined through user feedback

TypeScript (Next.js)
Python (Flask)
Amazon RDS
OpenAI
RAG
Docker
Gym Haven

Gym Haven

Online storefront built using Node.js & JavaScript

Key Highlights:

  • Developed 20+ core REST APIs and tested functionality with Jasmine suites

  • Refined the MongoDB database to optimize handling of over 100 user profiles and 500 product listings

  • Utilized OAuth 2.0, Stripe, OpenAI, EasyPost, Web3Forms APIs

Node.js
JavaScript
HTML/CSS
MongoDB
DataSphere

DataSphere

Applied machine learning to solve real-world problems across finance, healthcare, and energy domains

Key Highlights:

  • Predicted S&P 500 stock returns using Lasso and Elastic Net regression on time-series financial data

  • Classified brain tumors from MRI scans using SVM and Random Forest, with image preprocessing across 5K+ training samples and 1K+ test samples

  • Uncovered global energy usage patterns using K-Means and K-Medians clustering across 5-year periods

Python (Jupyter)
scikit-learn
Pandas
SVM
OpenCV
Seaborn
RU Gyms Crowd Meter

RU Gyms Crowd Meter

Hackathon winning Python health application

Key Highlights:

  • 1st place in health track out of 170 participants

  • Engineered a Python web app to display real-time gym crowd levels, designed to serve 50K+ students and faculty based on live user input

  • Deployed on a Linux server via an AWS EC2 instance

Python
Streamlit
Amazon EC2
Serenity Sphere

Serenity Sphere

Interactive chat avenues focused on holistic health

Key Highlights:

  • Omnichannel structure supporting 5 distinct AI chatbots and 1 live support option

  • RAG pipeline sourcing information from 40+ hand-picked YouTube videos

  • Established a PostgreSQL database to enable complex querying for improved chat capability

TypeScript (Next.js)
Python (Flask)
RAG
PostgreSQL
Clerk
InShort

InShort

Personalized news curated from over 125 million online sources

Key Highlights:

  • Automated news extraction using Python and BeautifulSoup for content retrieval from GDELT Event Database

  • Implemented a RAG pipeline to deliver contextual insights from Pinecone DB based on user input

  • Waitlisted over 35 users within the first 10 hours post-launch

TypeScript (Next.js)
Python (Flask)
Pinecone
RAG
OpenAI
Beautiful Soup
Rutgers Pizza

Rutgers Pizza

Interactive Android App to emulate a Pizzeria

Key Highlights:

  • Factory and Singleton design patterns

  • XML to customize seperate UIs for customers and the restaurant

JavaFX
XML
Android
Factory
Singleton