@ · /github (opens in a new tab) · /linkedin (opens in a new tab) · /leetcode (opens in a new tab) · /resume

👋 Hi, I'm Aditya! I'm a Full Stack Developer & Software Engineer based in New York, NY. I build scalable full-stack applications and applied ML systems using React, Node.js, and Python. Currently pursuing my MS in Computer Science at Pace University, expected May 2026.

Skills

Languages: JavaScript (ES6+), Python, TypeScript Frameworks & Libraries: React, Node.js, Express.js, Flutter, SwiftUI Databases & APIs: PostgreSQL, MySQL, MongoDB, Firebase, REST APIs ML & AI: Applied Machine Learning, Feature Engineering, FAISS, Cosine Similarity, Multi-Agent LLM Systems, Biometric Authentication Cloud & DevOps: Docker, AWS, Google Cloud Platform Tools: Git, GitHub Actions, Postman

Work

Digital Grandparents Inc. Webmaster Intern

Duration: Sep 2025 – Dec 2025 | New York, NY

• Took full ownership of the frontend across a nonprofit platform built for elderly users, think training, volunteering, and donation flows that actually needed to be easy to use.
• Cut page load times by ~30% by cleaning up UI logic, reducing redundant DOM updates, and making the whole thing leaner.
• Built and shipped 3+ accessible pages and forms from scratch, making sure they met WCAG 2.1 AA standards, accessibility wasn't an afterthought here.

Get SuperStars Inc. Software Developer Intern

Duration: July 2025 – Sep 2025 | Albany, NY

• Worked on a video-first professional networking app with 15,000+ active users, kind of like LinkedIn but built around video resumes and short-form content.
• Owned the Stories feed, profile tab, and notifications module end-to-end using Flutter and Dart.
• Hunted down memory leaks, fixed API call patterns, and cleaned up state management so the app actually felt smooth.

Quality Kiosk Technologies Full Stack Developer Intern

Duration: Jun 2023 – Feb 2024 | Mumbai, India

• Built client-facing dashboards and frontend features while also handling backend auth and data validation with Node.js and REST APIs.
• Dug through 50+ production bugs and optimized workflows dealing with 100,000+ records, got up to 30% performance improvement out of it.

Projects

Iris Scan Detection & Authentication System

React, Node.js, MediaPipe, FAISS

Built a real-time biometric authentication system that uses your iris. yes, your actual eye, to verify who you are. It pulls 128-dimensional embeddings from a live webcam stream using MediaPipe FaceMesh and matches identities via cosine similarity. Plugged in FAISS for fast vector search so the whole thing runs in under 2 seconds end-to-end with 95%+ accuracy. Full MERN stack, secure REST APIs, cloud-hosted and production-ready. 🔗 GitHub (opens in a new tab) | 🌐 Live Demo (opens in a new tab)

AI Hunger Games: Multi-Agent Evolutionary Simulation

Python, LLMs

What happens when you put a bunch of AI agents with different personalities in a room and make them compete? That's this project. Each agent generates responses, votes on others, and fights to survive across rounds. There's also a genetic evolution engine under the hood — agents inherit traits, mutate, and form alliances. All the data (survival rates, voting patterns, lineage) gets exported as JSON/CSV for analysis. 🔗 GitHub (opens in a new tab)

Open-Source Contributor Moltbot (opens in a new tab) (Core Engine of Clawbot AI (opens in a new tab))

Built a SwiftUI audio player with regex-based parsing and multi-format support (OPUS, WAV) for real-time media interactivity inside a viral agentic platform. Also refactored TypeScript metadata and frontmatter parsing for Clawbot's skill repository.

Education

Pace University MS in Computer Science, New York, NY Expected May 2026 | Pace Software Developer Club

University of Mumbai BS in Computer Science, India May 2024 | IEEE & Terna Code Camp

Publications

Credit Card Fraud Detection Using Machine Learning Designed and evaluated fraud detection models using Random Forest, Logistic Regression, and Naïve Bayes on 4,000+ financial transactions. If you're into ML research, this one's worth a read. 🔗 View Publication (opens in a new tab)

🎶💻📚

I enjoy coding side projects, exploring AI tools, listening to music, reading tech blogs, and keeping up with the latest in software engineering.