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Sehaan-1/README.md

👨‍💻 About

CS student at VIT Bhopal building applied AI systems that are reproducible, testable, and measurable.

What I optimize for:
✓ Evaluation-first ML (baselines, metrics, ablations)
✓ Reliability-minded engineering (idempotency, recovery, clean interfaces)
✓ Practical deployment (Docker, CI, sensible defaults)

Roles I'm targeting:
AI/ML Engineer • Data Scientist • MLOps-minded roles


🚀 Featured Projects

Resilient public procurement crawler

Extracts 50,000+ tenders from India's eProcure portal using Playwright with session persistence, heartbeat monitoring, and idempotent upserts.

Tech: Python • Playwright • Pydantic
Highlights: Retry taxonomy, graceful shutdown, strict typing

Hybrid retrieval + rule layer + evaluation

Answers legal questions using EU regulations via BM25 + FAISS hybrid retrieval, reranking, and refusal guards.

Tech: Python • FAISS • BM25
Metrics: 78% article recall, 85% refusal accuracy, ~9s p95 latency

Real-time CV surveillance platform

Multi-camera security system with React dashboard, Node.js backend, and Python AI worker (YOLOv8 + ByteTrack).

Tech: React • Node.js • OpenCV • Docker Compose
Highlights: WebSocket alerts, dynamic threading, one-command deploy

FastAPI model serving + SHAP explainability

Fraud detection with XGBoost + SMOTE, serving via FastAPI with per-prediction SHAP attributions and Prometheus-style monitoring.

Tech: Python • XGBoost • SHAP • FastAPI • Docker
Highlights: CI/CD pipeline, /metrics endpoint, cloud-ready


🛠️ Stack

Core
Python TypeScript JavaScript Java R



AI / CV / Data
OpenCV SQLite



Web
React Node.js HTML5 CSS3



DevOps / Cloud
Docker Git AWS GCP


📊 GitHub Stats

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  1. Tender-Royal-Pulse Tender-Royal-Pulse Public

    A full-stack dashboard and crawler for government tenders. Built with FastAPI and React to make finding and tracking public procurement data easier and more accessible.

    Python

  2. crossborder-legal-rag crossborder-legal-rag Public

    A Retrieval-Augmented Generation (RAG) system for EU Private International Law. Combines hybrid retrieval (BM25 + FAISS) and a deterministic rule engine to answer cross-border legal queries with of…

    Python

  3. sar---suspicious-activity-recognition sar---suspicious-activity-recognition Public

    AI-powered Suspicious Activity Recognition system — React + TypeScript frontend, Node.js/Express backend, Python YOLOv8/CLIP AI worker, Docker Compose

    TypeScript

  4. xai-fraud-detection xai-fraud-detection Public

    An Explainable AI (XAI) fraud detection engine built as an MLOps project. Combines an XGBoost model with SHAP explanations, served via a FastAPI backend and an interactive analyst console.

    Jupyter Notebook

  5. docker-incident-controller docker-incident-controller Public

    An autonomous SRE agent for Docker. Watches Docker containers for known failure signatures, creates SQLite-tracked incidents, and executes a multi-step remediation plan. API + Prometheus for observ…

    Python