Abhijay Agarwal

Full-stack engineer passionate about data-driven applications

Jerome Fisher M&T Program | University of Pennsylvania | Expected Graduation: May 2026 | GPA: 3.8

About

I'm a student in the Jerome Fisher Program in Management & Technology at the University of Pennsylvania, pursuing dual degrees in Computer Science and Business. I specialize in building AI-powered solutions that solve real-world problems, from developing automated email ingestion systems using ML algorithms to creating intelligent news article batching tools. My experience spans from MVP development for startups to building AI-driven systems that process and analyze large datasets to extract business insights and optimize decision-making processes.

Projects

Civic - Constituent Management Platform

Built MVP constituent management service (CMS) platform for AI startup Civic (get-civic.com)

Key Achievement:

Implemented automated email ingestion system with ML-powered parsing algorithms to classify and batch constituent messages by issue type, reducing manual processing time by 80%

TypeScriptReactNode.jsExpressSupabase

Closed source (contractor work)

Flagler Health - Healthcare Data Analysis

Analyzed healthcare claims data for Flagler Health, processing and combining multiple datasets with 100K+ records to identify patterns in patient procedures and physician practices

Key Achievement:

Developed machine learning models to identify procedure patterns and predict patient care outcomes, creating physician-patient network visualizations that improved care quality recommendations

PythonPandasJupyterData Visualization

Closed source (contractor work)

Shades - News Automation Tool

Developed in-house tool for news startup to automate article batching through NLP techniques

Key Achievement:

Built NLP pipeline for automated content categorization and sentiment analysis, reducing article processing time by 10x through intelligent batching algorithms

ReactTypeScriptFirebaseChrome Extension API

Closed source (startup work)

Instahub - Energy Dashboard

Created revamped frontend including login flow and digital dashboard for energy conservation company

Key Achievement:

Implemented predictive analytics dashboard with ML-driven energy consumption forecasting and anomaly detection to optimize conservation strategies

JavaScriptReactNode.jsExpressFirebase

Closed source (contractor work)

YelpBnB - Property Search Platform

Published webapp allowing users to find AirBnB properties based on nearby Yelp businesses and vice-versa

Key Achievement:

Optimized SQL queries with relational algebra, reducing query execution time by ~150%; Processed 500K+ rows across 5 databases

JavaScriptReactNode.jsExpressSQL

Open source

Spotify@Penn - Music Sharing Platform

Published MEVN stack web application allowing members of UPenn community to share music tastes and view popular/trending music at the school

Key Achievement:

Integrated Spotify API using OAuth to extract user data and connected to MongoDB backend, with Express/Node.js for data retrieval

MongoDBExpressVue.jsNode.jsSpotify APIOAuth

Open source

Skills

Languages

TypeScriptJavaScriptPythonSQL

Frontend

ReactHTML/CSSChrome Extensions

Backend

Node.jsExpressREST APIs

Databases

FirebaseSupabase

Data & ML

PandasJupyterNumPyNLP

Cloud

AWS EC2

Education

University of Pennsylvania - Jerome Fisher Program in Management & Technology (M&T)

B.A.S. in Computer Science

School of Engineering and Applied Science

B.S. in Economics with concentration in Business Analytics

The Wharton School

Expected Graduation: May 2026

GPA: 3.8/4.0

Relevant Coursework:

Big Data Analytics, Databases & Information Systems, Software Design/Engineering, Data Structures & Algorithms, Management of Technology, AI, Business and Society

Contact

abhiijay@wharton.upenn.edu

LinkedIn Profile

GitHub Profile