Manit Garg

I design and build performant, human‑centered software. My work spans scalable web platforms, applied machine learning, and developer tooling. I care about clean architecture, delightful UX, and shipping quickly without sacrificing quality.

👇 Scroll down to explore

Resume Contact

About

I'm Manit Garg, a Computer Science student at Penn State, pursuing my B.S. with a Business Fundamentals Certificate. My academic background covers data structures & algorithms, machine learning, database systems, and software engineering, paired with strong experience in AI research and full-stack development.

My technical expertise spans Python, TypeScript, JavaScript, Java, C/C++, SQL, and frameworks like Next.js, React, Node.js, TensorFlow, and PyTorch, with a strong focus on scalable architectures, data pipelines, and AI/ML applications. I'm passionate about building innovative, high-impact solutions that bridge cutting-edge research with practical use cases.

Research

Explainable AI Research

2025 — Present

Pennsylvania State University

Developing explainable AI models for program semantic equivalence, applying graph-based learning techniques (GCN, GAT) and embedding methods like Word2Vec, Code2Vec, and DeepWalk.

Achieved 92% accuracy in detecting obfuscated code similarities, supporting advancements in automated code review and verification tools.

Contributing to research that bridges the gap between AI interpretability and practical software engineering applications.

Projects

StudySprint — AI-Powered Coding Platform

Next.js, TypeScript, Python, PostgreSQL, Supabase • June 2025

Architected full-stack platform combining 3,600+ LeetCode problems with AI-driven learning analytics and search functionality
Automated Python ingestion pipeline to fetch/transform/sync problem data from multiple APIs daily
Intelligent search with real-time filtering to discover relevant coding challenges from a vast dataset
Responsive TypeScript frontend with Monaco Editor; optimized PostgreSQL queries and schema

Game Captcha — AI-Native Bot Detection

Next.js, React, TensorFlow, Deep Q-Networks • Apr. 2025

Developed innovative CAPTCHA alternative using interactive gaming + AI behavioral analysis
Benchmarked with pre-trained DQN to calibrate human vs. automated gameplay patterns
Modular embeddable verification system with scalable infra; WebXR support for VR headsets
95%+ human detection accuracy; Won Timeless Tech Track at HackPSU Spring 2025

Swipe — AI-Driven Professional Networking

React, Node.js, MongoDB, OpenAI API • Oct. 2024

LLM-powered matching based on research interests and career compatibility
NLP to analyze profiles and generate semantic similarity scores
Swipe-based UI with real-time messaging; scalable MongoDB data layer

Leadership & Clubs

Treasurer & Event Coordinator

2024 — Present

Machine Learning @ Penn State

• Leading budgeting for 200+ members and securing over $15K in funding

• Organizing technical workshops and networking events with industry professionals

• Mentoring peers in machine learning concepts and practical applications

Contact

Open to collaboration, internships, and impactful product work. Let's build something amazing together!

📧 Email Me 📄 Resume