Software Developer at Cubits.ai | Rutgers Computer Science Graduate
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 and AI development 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
Enhanced a Jupyter notebook extension to track student effort across 1,000+ submissions using code logs and markdown notes, added a Gemini AI assistant, built Cubits.ai course tooling for AI-powered video learning, and developed engagement analytics for instructors and learners.
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 authentication and synchronization, JSON backup/import, and Groq Vision meal-photo analysis with editable macro totals.
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.