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  • chandigarh, Punjab , INDIA

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AmanDevNet/README.md

Hi, I'm Aman Sharma 👋

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ML Engineer building RAG systems, anomaly detection pipelines, and computer vision applications on real infrastructure.

What I'm Building

OmniSight — Real-Time Network Intelligence System

Live deployment · 160+ campus devices · Built in 70+ hours

  • Anomaly detection using Isolation Forest on live network traffic
  • ChromaDB + Google Gemini RAG pipeline for context-aware alerts
  • Passive OS fingerprinting via TTL analysis (Cisco Meraki constraints)
  • FastAPI backend + D3.js real-time visualization dashboard
  • Network DVR for retrospective traffic analysis

LawWise — RAG-Based AI Legal Assistant

March 2026 – Present

  • Full RAG pipeline: LangChain + ChromaDB + HuggingFace Transformers
  • LoRA fine-tuning for Indian legal domain adaptation
  • FastAPI backend + MongoDB · Containerized with Docker

AFS-VFM — Research (In Progress)

Targeting BMVC / WACV · Lead-author

  • Anticipatory failure signals in vision foundation models
  • Phase 1 & 2 complete · Active development ongoing

Tech Stack

Python PyTorch HuggingFace LangChain FastAPI Docker MongoDB OpenCV AWS Git

Top Languages

Currently

  • MCA @ Chandigarh University · Graduating June 2026
  • Independent ML research targeting BMVC / WACV
  • Open to ML Engineering internships · India + International

Pinned Loading

  1. AFS-VFM AFS-VFM Public

    Research into anticipatory failure signals in vision foundation models - DINOv2, CLIP, DETR. Targeting BMVC/WACV.

    Python 1

  2. Omnisight Omnisight Public

    TypeScript

  3. Varicose-Vein-Recovery-Predictor Varicose-Vein-Recovery-Predictor Public

    ML ensemble (RF + GB + XGBoost) for varicose vein recovery risk prediction with SHAP explainability, scenario comparison, FastAPI backend, and React dashboard.

    Python

  4. LawWise LawWise Public

    TypeScript

  5. Multilingual-Voice-Translation-System Multilingual-Voice-Translation-System Public

    Python