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jaganath10486/README.md

Hi, I'm Naga Jaganath Reddy 👋

Full Stack Engineer · MERN · React · Next.js · FastAPI · Python · AI/LLM Integration

LinkedIn Portfolio Gmail Profile Views


🧑‍💻 About Me

I'm a Full Stack Engineer with 2+ years of experience building and shipping production-grade web applications — owning the full lifecycle from architecture to deployment.

  • 🏢 Currently a Software Developer at Kynhood Technologies, building large-scale event management infrastructure
  • 🎓 B.Tech in Computer Science, IIITDM Kancheepuram — CGPA: 8.71 | Top 2% nationally in JEE Main (1M+ candidates)
  • 🤖 Hands-on experience integrating LLMs & AI Agents (Gemini API, LangChain) into production systems
  • ⚡ Delivered measurable impact: 90% reduction in manual operations, 60ms API latency cut, 3× page load improvement
  • 🏆 1st Place — Reverse Engineering, IIITDM Tech Fest

🛠️ Tech Stack

Languages

TypeScript JavaScript Python

Frontend

React Next.js Tailwind CSS

Backend

Node.js Express.js FastAPI Redis WebSockets

Databases

MongoDB PostgreSQL MySQL

AI / LLM

Gemini API OpenAI LangChain spaCy

Cloud & DevOps

AWS Vercel Docker Git

Testing

Jest React Testing Library Supertest


🚀 Featured Projects

🔧 AI-Powered Equipment Rental Platform

Stack: Next.js · Node.js · MongoDB · Redis · Gemini API  ·  GitHub Repo

A full-stack rental marketplace powered by AI-driven discovery and optimized for performance at scale.

  • 🤖 AI Recommendation Engine — Leverages view history and booking categories to surface personalized equipment suggestions
  • 🔍 Natural Language Search — Gemini API converts free-text queries into structured MongoDB filters, eliminating manual filter selection
  • Redis-Cached Booking Backend — Async job processing cut API response time by 60ms

🛡️ SentinelAI Gateway

Stack: FastAPI · Python · LangChain · OpenAI · Gemini · spaCy  ·  GitHub Repo

A privacy-preserving LLM gateway that intercepts, sanitizes, and intelligently routes requests across AI providers — ensuring no raw sensitive data ever reaches an external model.

  • 🔒 PII Detection & Masking Engine — 96 regex patterns combined with spaCy NER detect and redact 7+ PII entity types, ensuring zero raw sensitive data is transmitted to external providers like OpenAI or Gemini
  • 🔀 Task-Aware LLM Router — Intelligently routes requests across OpenAI and Gemini based on task type, with built-in retry logic and automatic provider fallback to sustain uninterrupted availability

🏆 Professional Highlights

All achievements from production work at Kynhood Technologies (2022 – Present)

Achievement Impact
Automated Easebuzz payout webhooks with a Node.js/Express.js backend — handles webhook processing, notifications, and Excel report generation 90% reduction in manual finance ops for 500+ organizers
Architected a React.js/Express.js real-time QR ticketing & validation system for live events, including the Ilaiyaraaja concert Processed 20,000+ scans with zero duplicate entries under peak concurrent load
Engineered a FastAPI microservice using Gemini API to auto-generate event descriptions and cover images within the creation workflow Cut publish time from 15 min → 8 min, eliminated manual copywriting
Built a React.js Google Maps location picker with GPS detection, drag-to-pin & address autocomplete, replacing error-prone manual entry Raised onboarding completion from 40% → 70%
Applied Next.js SSR, lazy loading, server-side & browser caching, metadata optimization, and SVG sprite bundling Boosted Lighthouse score 60 → 90, FCP improved

📊 GitHub Stats

GitHub Stats Top Languages

GitHub Streak


📚 Currently Learning

  • 🧠 Advanced AI Agent architectures and multi-agent workflows
  • ☁️ AWS services (Lambda, EC2, S3) for scalable deployments
  • 🔄 System Design patterns for high-traffic distributed systems

🤝 Let's Connect

I'm open to Full Stack, Backend, or AI/LLM-integrated roles. If you're building something impactful or want to discuss engineering challenges, let's talk!

"I don't just write code — I engineer solutions that eliminate operational bottlenecks and scale with real-world demand."

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    JavaScript 2