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MHasaan/README.md

Muhammad Hasaan — ML and automation engineer. I build models that make decisions.

Credit risk, fraud, seizure detection. I take a problem from raw data to a model you can question, then put it somewhere people can use it. BS Computer Science graduate (2026); IBM Machine Learning Professional Certificate.

Portfolio · LinkedIn · muhammadhasaan139@gmail.com

Live demos

Each one runs in the browser, and each is built as its own app.

Underwrite — loan default model Sentinel — transaction fraud console Negamax — tic-tac-toe with minimax Orbit — 3D project space

Also on the site: Nimbus (weather), Punchlist (tasks), Tally (calculator).

Other work

  • webotMCP — MCP server for the Webots robot simulator: control robots, edit scenes, read sensors and cameras from an AI assistant.
  • kpi-nexus-final — multi-tenant KPI SaaS. NestJS, Next.js, Prisma, TimescaleDB, pgvector, BullMQ and a Python ML sidecar.
  • Seizure detection — pose estimation that watches for seizure-like movement and alerts carers. OpenCV, MediaPipe, TensorFlow.
  • Malware detection — parallel scanning and classification of malware signatures with Python multiprocessing.
  • PDF_Scrapper — receipt PDFs to clean CSV.

Tools

Modelling Python, SQL, PySpark, DuckDB, XGBoost, scikit-learn, PyTorch, TensorFlow, SHAP
Serving FastAPI, Django, Docker, n8n
Web TypeScript, React, Next.js, three.js

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