Kunj Pandya
Full-Stack Engineer & Entrepreneur
📍 Hoboken, NJ
Building scalable backend systems and intelligent applications. From distributed task orchestrators to AI-powered platforms, I turn ideas into production-ready solutions that scale.
About Me
Full-stack engineer and aspiring entrepreneur passionate about building scalable systems that solve real-world problems.
Currently pursuing MS in Computer Science at Stevens Institute of Technology while architecting distributed backend systems, microservices, and cloud-native applications.
From building distributed task orchestrators handling 10K+ tasks/day to creating AI-powered platforms serving 500+ users, I focus on turning ideas into production-ready solutions that scale.
Education
Master of Science
Computer Science
Stevens Institute of Technology
Sept 2025 – May 2027
Key Coursework:
Bachelor of Technology
Artificial Intelligence and Machine Learning
D. J. Sanghvi College of Engineering, Mumbai University
Sept 2021 – May 2025
Key Coursework:
Experience
Backend Engineer – Distributed ML Platform
CurrentNov 2025 – Present
- ▸Architecting and building a distributed profiling platform for federated machine learning, handling energy metrics collection from 100+ edge devices in real-time.
- ▸Developed scalable backend infrastructure using TensorFlow.js, Socket.IO, and Redis to process per-layer power consumption data across heterogeneous device networks, optimizing for low-latency data aggregation and fault tolerance.
Founding Engineer – Placement Intelligence Platform
May 2024 – June 2025
- ▸Built and scaled backend infrastructure from scratch for a placement platform serving 500+ students. Designed RESTful APIs handling 10K+ requests/day with <200ms p95 latency, optimizing database queries and implementing efficient caching strategies.
- ▸Architected and deployed ML inference microservices including an spaCy-based resume parser (95% accuracy) and real-time computer vision pipeline processing at 30 FPS. Managed end-to-end product development from initial prototype to production deployment.
Featured Projects
A selection of projects demonstrating expertise in distributed systems, AI/ML, and scalable backend architecture
Dummy Trading — Paper Trading Platform
Feb 2026
Comprehensive paper trading platform with $100K virtual funds, real-time Alpaca pricing, ML-powered predictions, and competitive group trading.
Impact: Full S&P 500 market browsing with real-time pricing. ML prediction system with 23-feature engineering pipeline from OHLCV data. Supports limit/stop orders with automated 60-second validation cycles.
Wizard Duel — 3D Battle Game
Feb 2026
First-person 3D wizard battle game built with Unity 6 and URP, featuring a 10-level Harry Potter-themed campaign with voice-controlled spell casting.
Impact: 10-level campaign from Professor Quirrell to Lord Voldemort across themed arenas. State machine AI with weighted decision-making and dynamic arena theming per level.
Vehicle Matching System (AIRGarage Track)
Dec 2025
Multi-stage computer vision pipeline for associating vehicle entry-exit events across 100K+ images with 94% matching accuracy.
Impact: Achieved 94% matching accuracy across 100K+ images. Reduced end-to-end processing latency under batch workloads using GPU acceleration.
Cloudflare AI Doc Explorer
Jan 2026
Production-ready semantic documentation search and AI chat system built on Cloudflare's edge infrastructure with vector embeddings and Gemini.
Impact: 70ms cold start, 200-400ms search latency. Bundle optimized from 1.5MB to 285KB gzipped. 25+ indexed documentation chunks with persistent chat history.
Credit Risk Inference System
Jan 2026
Production-grade credit risk model using XGBoost analyzing 50,000+ borrower records with 91% AUC-ROC and real-time Flask inference API.
Impact: Achieved 91% AUC-ROC and 81% accuracy. API responses under 200ms median latency, handling 1,000+ daily predictions with concurrent request support.
PassManager Server
Jan 2026
Lightweight password manager server with trust-free architecture, end-to-end encryption, and secure session management.
Impact: Lightweight deployment suitable for small-scale infrastructure. Complete cryptographic implementation with secure authentication and encrypted data storage.
VentureViewHR — AI HR Assistant
Nov 2025
AI-powered HR analytics application built with Gemini AI for intelligent recruitment insights and workforce management.
Impact: AI-driven HR analytics with real-time Gemini-powered insights for recruitment and workforce management decisions.
Pulse — Distributed Task Orchestrator
Oct 2025
Horizontally scalable distributed task orchestration service with REST APIs, Redis priority queues, and fault-tolerant task processing.
Impact: Handles 10K+ tasks/day with 99.9% reliability. Resolved task starvation and retry storms under burst workloads, stabilizing end-to-end task processing.
Decentralized P2P Event Mesh
Aug 2025
Decentralized peer-to-peer event mesh using Java, gRPC, and Chord-based DHT for real-time push-based message propagation.
Impact: Evaluated on Amazon EC2, maintaining consistent message delivery during node joins, failures, and migrations. Zero central point of failure with automatic DHT rebalancing.
SmartKitchen AI
Oct 2024
Scalable backend with MobileNetV2-based ingredient recognition, recipe catalog of 8,000+ entries, and hybrid recommendation engine.
Impact: Real-time ingredient recognition and personalized recommendations. Automated inventory tracking and nutritional data retrieval in end-to-end production workflow.
Technical Skills
Languages
Backend Systems
Infrastructure & ML Ops
AI/ML
Developer Tools
Always learning and exploring new technologies to build better systems
Get in Touch
I'm always open to discussing new opportunities, collaborations, or just having a chat about distributed systems and AI/ML.
© 2026 Kunj Pandya. Built with Next.js, TypeScript, and Tailwind CSS.