Software Developer | AI and Educational Technology at Rutgers University
I build scalable full-stack software and AI-driven applications, with experience in AWS cloud infrastructure, educational technology, and data pipelines. I'm currently exploring software engineering, AI development, and IT/technical operations opportunities.
About Me
Rutgers University, School of Arts and Sciences · New Brunswick, NJ
B.A. in Computer Science · GPA: 3.72/4.00
Graduated: May 2026
Awards & Credentials
- SAS Excellence Award · 2023/24/25/26 school years
- CodePath Advanced Technical Interview Prep · May 2026
- MITRE 2026 eCTF Attack Phase · April 2026
Experience
Built a Cubits.ai AI agent that reads video transcripts to generate quizzes and reading materials, developed a Gemini-powered JupyterLab tutor, created learner analytics dashboards, and enhanced a Jupyter Notebook extension to track student effort across 1,000+ submissions.
Evaluated 200+ programming submissions using Gradescope automation and rubric-based scoring, analyzed common Python and algorithm errors, and delivered feedback on correctness, edge cases, and efficiency.
Built a Next.js and TypeScript AI image platform with S3 uploads and Gemini Vision, deployed custom inference on AWS EC2 to cut third-party API costs by 90%, and shipped features that lifted engagement 25%.
Reduced query execution time by 60% through AWS pipeline and schema improvements, and automated data entry and QuickBooks synchronization with Python and AWS. Consolidated 8,000+ records from 5+ vendors into a master dataset to improve reporting efficiency.
I established the Rutgers SCLA chapter, engaging 30+ members in leadership and service projects and reaching 200+ students through outreach that doubled event participation.
I built a small-scale backend password manager with Python and SQL, optimizing client-server communication and implementing encryption for secure credential storage.
Personal Projects
Built a Next.js and TypeScript nutrition tracker with IndexedDB storage, Supabase auth/sync, and JSON backup/import. Integrated an AI agent to analyze meal photos into editable items, macro totals, and protein progress dashboards.
Extended RLGymCPP with custom state setters for curriculum and multi-task reinforcement learning, and connected C++ simulation components to Python training pipelines for high-throughput environment stepping.
This is a 3D interactive solar system built with React, Three.js, and TypeScript. Just a simple, intuitive learning experience for our wonderful solar system.
Designed a centralized catalog for 2,000+ Rutgers courses and developed a Python Discord bot that instantly notified 1,000+ users when class spots became available.
Python automation script to perform daily searches in Microsoft Edge, automatically gaining points to redeem a gift card.
An AI-powered meal planning and nutrition tracking application for Rutgers students. Students can personalize meal plans, browse the menu, calculate nutrition, and add food to their meal history.
An AI-powered reading tool for international students. It features multilingual support for 25+ languages, text highlighting with instant AI explanations and AI summarization tools.
A web application that scans and analyzes receipts using OCR and AI. It extracts text from receipt images and organizes data into a structured format with merchant details, purchase date, total amount, and itemized lists.