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Hi, I'm Rishabh — Full-Stack AI & Security Engineer

Engineering Lead (12+ Hackathons) | RAG Systems | Web Scraping Pipelines | Backend Architecture | Cyber Forensics

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🚀 Core Focus & Philosophy

  • 🤖 Agentic RAG Platforms — Designing scalable context-aware AI systems that act autonomously on live datasets.
  • Low-Latency Architecture — Engineering real-time scraping systems (Playwright/Selenium) tightly decoupled from backend execution flows.
  • 🔒 Security-First Systems — Hardening application code layers against modern exploits and prompt-injection logic.

🛠️ Technical Stack

  • AI & RAG: Graph RAG | HuggingFace Models | Gemini API Core Interfaces | Vector Embeddings
  • Full-Stack Ecosystem: Next.js | React | FastAPI (Python) | Monorepo Environments (Turborepo)
  • Infrastructure & DB: Docker Containers | Redis Caching Layers | PostgreSQL Production Clusters
  • Web Automation: Headless Playwright Infrastructure | Multi-threaded Selenium Scrapers

📁 Featured Work

🛠️ RAG Web Scraping Pipeline

  • Built resilient distributed scrapers targeting highly dynamic, client-rendered JavaScript ecosystems.
  • Extracted, sanitized, and structured messy data payloads for sub-second vector index generation.

🏆 ERP System (Voidhacks — 1st Place)

  • Shipped a full-fledged, multi-tenant enterprise resource software stack completely within a tight 36-hour timeframe.
  • Handled full-stack mechanics inside a robust MERN cluster setup optimized under intense timeline conditions.

🍇 Wine SaaS Platform

  • Architected a complete microservice layer leveraging isolated, easily maintainable workspaces under a global Monorepo.
  • Used Turborepo coupled with server-rendered Next.js entrypoints to scale component design lines linearly.

👷 Check out what I'm currently working on

🌱 My latest projects

🔨 My recent Pull Requests

⭐ Recent Stars

GitHub Contribution Snake

✍️ Technical Writing

  • Coming Soon: Deep-dives exploring production RAG performance bottlenecks, automated scraping bypass strategies, and multi-tier backend reliability metrics.

Building systems that work in real-world conditions — not just demos.

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