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snehabvarghese/README.md

Sneha B Varghese GitHub Banner

Hey there, I'm Sneha B Varghese πŸ‘‹



🌸 About Me

Coding GIF

πŸ‘©β€πŸ’» Who Am I?

✨ Computer Science (Data Science) undergraduate at Mar Athanasius College of Engineering (CGPA: 8.85). Passionate about building AI-powered backend systems, multi-agent frameworks, and scalable software solutions.

  • πŸ† 1st Prize Winner at Vajra Hackathon (Spectrum 2026)
  • πŸ’Ό Former Cybersecurity Intern (SMEC Automation) & ML Intern (Stem Robotics)
  • 🌱 Deepening knowledge in Agentic AI, Multi-Agent Systems & Cloud Architecture
  • 🎯 Goal: Build impactful, production-grade AI applications
  • πŸ’¬ Ask me about Python, FastAPI, LangGraph, Multi-Agent RAG, LLMs & PostgreSQL
  • ⚑ Fun Fact: I turn complex ideas into functional, real-world AI software.

πŸ’» Tech Stack


πŸš€ Featured Projects

Project Description
πŸ€– Research Assistant AI Multi-agent research platform featuring 9 specialized AI agents using LangGraph, FastAPI, Hybrid RAG (ChromaDB + Keyword Search), and PostgreSQL with arXiv/Crossref integrations.
✨ AI-Powered Content Generation Platform Scalable FastAPI & React Native app transforming technical documents into blogs, ads, and emails via multi-agent LLM pipelines with real-time SSE streaming.
πŸš“ Forensic Criminal Intelligence System Sub-second suspect identification pipeline using FaceNet, MTCNN, Stable Diffusion, and PyTorch over 1,000+ criminal records.
πŸš— IoT Vehicle Telematics System Real-time vehicle tracking platform using ESP32, MQTT-over-TLS, HiveMQ, and Leaflet.js with geofencing & remote immobilization (Vajra Hackathon Winner).

πŸ’Ό Experience & Achievements

  • πŸ† 1st Prize β€” Vajra Hackathon (Spectrum 2026): Built an IoT vehicle telematics system with geofencing and remote immobilization.
  • πŸ›‘οΈ Cybersecurity Intern β€” SMEC Automation (Jun 2026): Analyzed security vulnerabilities, network security practices, and mitigation techniques in Linux environments.
  • πŸ€– Machine Learning Intern β€” Stem Robotics (Jun 2025): Preprocessed medical datasets and improved SVM/Random Forest model accuracy by ~12% through feature engineering.

πŸ“Š GitHub Analytics



πŸ“ˆ Contribution Graph


🐍 Contribution Snake


🀝 Connect With Me


πŸ’– Thanks for visiting my profile!

"Building intelligent software that makes a difference."


Pinned Loading

  1. telematics-app telematics-app Public

    JavaScript

  2. voice_assistant voice_assistant Public

    Python

  3. witSketch witSketch Public

    Python 2

  4. AUTONOMOUS-CONTENT-FACTORY AUTONOMOUS-CONTENT-FACTORY Public

    Jupyter Notebook

  5. researchAssistantAI researchAssistantAI Public

    Python