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Focusing
:octocat:
Focusing
8 followers · 9 following

Achievements

Achievement: Pair ExtraordinaireAchievement: Pull SharkAchievement: YOLOAchievement: Quickdraw

Achievements

Achievement: Pair ExtraordinaireAchievement: Pull SharkAchievement: YOLOAchievement: Quickdraw

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M-Wajeeh/README.md

Wajeeh Ul Hassan, AI/ML engineer building LLM agents, RAG systems and ML pipelines. Status: ready to deploy. His tools orbit around him: LangChain, RAG, agents, PyTorch, XGBoost, OpenCV, scikit-learn, Docker, FastAPI, MLflow, DVC and AWS.

Based in: Islamabad, Pakistan. Focus: GenAI and MLOps. Latest win: Vyrothon AI Hackathon, 1st

$ mlflow run career --experiment wajeeh

Career pipeline: data — NUML Islamabad, BS Artificial Intelligence (2022 – 2026); train — SiberKoza Alpha, AI/ML Engineer Intern, NASTP (Jul – Sep 2025); evaluate — Vyrothon, AI Hackathon, 1st of 580+ (2026); fine-tune — CESAI, EME, AI Engineer Intern (Jul – Sep 2026); deploy — Your team, Full-time AI/ML role (now)

$ mlflow metrics show

1st of 580+ at the Vyrothon AI Hackathon. 90.2% accuracy on PurchasePulse, 0.89 AUC. 80K+ records through production ML pipelines. 40+ experiments tracked in MLflow

$ ls ./artifacts

AI Virtual Try-On: Puts any garment on a person photo using diffusion inpainting guided by body pose. Built with PyTorch, CatVTON, Stable Diffusion, OpenPose. PurchasePulse: Real-time purchase intent API with experiment tracking, data versioning and automated retraining. Built with XGBoost, FastAPI, MLflow, DVC. RAG Insight Engine: Ask questions over your documents and get answers that cite their source chunks. Built with embeddings, ChromaDB, LLMs. n8n AI Search Assistant: Whisper transcribes, Llama 3.3 routes intent to web research or data lookup. Built with n8n, Whisper, Llama 3.3. Vehicle Insurance MLOps: MongoDB to a FastAPI service on EC2, with data validation, S3 model storage and CI/CD. Built with FastAPI, Docker, AWS, GitHub Actions. SQL Customer Analytics: End-to-end SQL Server project turning raw customer data into business insights. Built with SQL Server, T-SQL.

$ curl wajeeh.dev/endpoints

GET /portfolio: m-wajeeh.dev GET /linkedin: in/hassanwajeeh GET /github: M-Wajeeh POST /hire: wajeeh9233@gmail.com


Certifications: Oracle Generative AI Professional, Oracle OCI AI Foundations Associate, Coursera Machine Learning, Coursera Excel, Udemy Data Analytics Bootcamp. Currently learning: LangSmith, DeepEval, Great Expectations, agentic AI, CI/CD for ML.


$ exit
Open to AI/ML roles in Islamabad, Rawalpindi and Lahore · wajeeh9233@gmail.com

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  1. PurchasePulse-Real-Time-Intent-Prediction PurchasePulse-Real-Time-Intent-Prediction Public

    Real-time purchase prediction API with MLOps, MLflow tracking, DVC data versioning, and automated retraining.

    Jupyter Notebook 1

  2. RAG-Insight-Engine RAG-Insight-Engine Public

    A lightweight RAG-based system for querying documents using embeddings, ChromaDB, and LLMs with grounded responses and source retrieval.

    Python 1

  3. sql-customer-analytics sql-customer-analytics Public

    End-to-end SQL analytics project focused on customer insights.

    TSQL 3

  4. n8n-AI-Search-Assistant n8n-AI-Search-Assistant Public

    A full-stack AI agent built on n8n. Uses Whisper for instant transcription and Llama 3.3 for intelligent intent routing, web research, and data retrieval.

    HTML 1 3