> Hello, World! I'm
Parth Garg
Software Engineer | AI & ML Enthusiast
B.Tech CSE (AI & Analytics) student building full-stack products and AI-driven systems — from AR navigation to real-time collaboration tools.
About Me
I'm a Computer Science undergrad at GLA University, Mathura, specializing in AI & Analytics. I like building things end-to-end — from pixel-perfect frontends to the ML models and backend systems that power them. Recent work spans a production travel platform with a custom Three.js world map, an AR indoor-navigation system using visual positioning and A* pathfinding, and a hybrid movie recommendation engine. I've ranked in the top 20 teams at a 72-hour hackathon, top 10 at my university's flagship hackathon, and lead event execution for my university's tech club.
Education
B.Tech, Computer Science (AI & Analytics)
Intermediate (PCM)
Skills
Languages
Frontend
Backend
AI / ML
Data Engineering
Databases
Tools & Other
Core CS
Projects
Featured Project
Earth Travels India
Luxury travel platform with a custom interactive 3D/2D world map
A full production website for a real travel agency showcasing custom tour packages, signature itineraries, cruises, rail passes, and visa services. Built a custom Three.js WebGL console with a 2D/3D map covering 50+ destinations, Mathura-originating animated flight arcs, sonar-pulse markers, and region filters synced via GSAP + ScrollTrigger. Features a multi-step trip quote builder, 1-click WhatsApp booking, and a deep-espresso/gold glassmorphism design system with 60fps momentum scrolling (Lenis).
Featured Project
3D AR Indoor Navigation System
Markerless AR indoor wayfinding using visual positioning + custom pathfinding
Solves indoor wayfinding where GPS fails. Built with Unity and the Immersal SDK (Visual Positioning System) for precise markerless indoor localization — no QR codes or beacons needed. Implements a custom A* pathfinding engine (Python grid-processing + graph analysis) to calculate shortest walkable routes, guiding users through immersive 3D AR waypoints with real-time turn-by-turn overlays. Floor plans modeled in Sweet Home 3D and integrated into Unity XR.
Featured Project
Hybrid Movie Recommendation System
4-algorithm hybrid recommender — 15% accuracy gain, <100ms response
Built during a Microsoft Edunet AI/ML internship. Combines Collaborative Filtering, Content-Based Filtering, Deep Learning, and a Hybrid Ensemble to deliver real-time recommendations across 1,777+ movies, served via a FastAPI backend with a modern web interface.
Other Noteworthy Projects
NCB — No Code Backend
AI-assisted platform letting users visually design backend workflows (React Flow drag-and-drop editor) and auto-generate production-ready Node.js/Express APIs from natural language, with rule-based validation and JWT security.
CodeMesh
Multi-user real-time collaborative code editor with synchronized editing and execution via WebSockets, room management, auto-save, and AI-powered coding assistance.
NexaAI
Context-aware conversational AI with multi-turn interactions, streaming responses, and a ChatGPT-style responsive UI.
Data Processing Pipeline
Streaming ETL pipeline using Apache Kafka and PySpark to ingest, transform, and store large-scale data efficiently into a data lake/MongoDB.
J.A.R.V.I.S Arena
Web-based platform for playing and downloading community-built games, with user registration, ratings/comments, and a showcase space for indie developers.
Experience
AI/ML Intern
SoftPro India Pvt. Ltd.
Contributed to AI/ML-driven modules, including data preprocessing, model experimentation, and integration support within a collaborative development team.
AI/ML Intern
Microsoft Edunet Foundation
Built a hybrid movie recommendation engine combining 4 ML approaches (collaborative filtering, content-based filtering, deep learning, ensemble) using Python, TensorFlow, and FastAPI — achieving 15% higher accuracy and sub-100ms response times.
Achievements
Hackathons
Top 20 of all teams — LNM Hacks 7.0
LNMIIT Jaipur (72-hour hackathon)
Built a Web3 app with smart contract integration (React, Node.js, Solana Web3.js)
Top 10 teams — Hack and Viz 2.0
GLA University (2-day hackathon)
Leadership
Event Team Head, Datum Club
GLA University
Led planning and execution of multiple technical events
Speaking & Workshops
Flood-Forecasting ML Project Presentation
SBJIT University, Bangalore
Presented under the Intel RPC Workshop
Certifications
Contact
> Let's build something together. Whether you have a project in mind, a job opportunity, or just want to say hi — my inbox is always open.