CV

Basics

Name Amgad Madkour
Label Engineering Leader
Url http://amgadmadkour.com
Summary Engineering leader and hands-on tech lead specializing in AI-powered consumer platforms and large-scale systems. Deep expertise in LLMs, knowledge graphs, and data platforms, with a track record of building 0→1 products and scaling high-performing engineering and applied science teams. Proven ability to drive measurable growth, reliability, and efficiency improvements across systems used by millions.

Work

  • 2022.03 - Present

    Redmond, USA

    Principal Engineering Manager
    Microsoft AI, Commerce
    • Built Microsoft Copilot Commerce Savings from the ground up (0→1), shipping AI-powered shopping experiences including product tracking, price alerts, coupons, and cashback to millions of users.
    • Lead the addition of a savings skill to Microsoft Copilot that orchestrates product tracking, coupons, and cashback tools, and built extensive evaluation frameworks to measure skill response quality, tool-call accuracy, and reliability at scale.
    • Designed and built the product tracking platform, driving 2× growth in product tracking within six months through hands-on architecture, platform improvements, and disciplined execution.
    • Built Autos Copilot and My Garage from scratch (0→1), spearheading Microsoft Autos Marketplace initiatives that contributed to 3× DAU growth and 100% YoY revenue growth.
    • Operate as a hands-on tech lead, staying deeply involved in system design, architecture reviews, and implementation across the full stack while leading the team.
    • Built and scaled a multidisciplinary engineering and applied science team from scratch, owning hiring, role definition, leveling, promotions, and performance management.
    • Partner with product, design, business, and engineering leaders to define roadmap and drive execution across teams.
  • 2019.01 - 2022.03

    Redmond, USA

    Senior Data & Applied Scientist
    Microsoft Bing
    • Designed, developed, and fine-tuned ML models for product information extraction in Microsoft Edge, improving accuracy and production reliability at scale.
    • Reduced compute and storage costs for entity matching workflows by 50% through optimized indexing and candidate generation.
    • Scaled the Bing Satori knowledge graph entity matching platform on Apache Spark and pioneered adoption of .NET for Spark within the Bing stack.
  • 2006.02 - 2010.09

    Cairo, Egypt

    Research Engineer
    IBM
    • Co-invented a patented k-partite graph technique for tag recommendation during resource bookmarking.
    • Developed (Bionoculars), an unsupervised biomedical information extraction system for identifying protein-protein interactions from scientific literature.
    • Created a machine-assisted human translation system (MAHT) leveraging language models for statistical machine translation.
    • Collaborated with researchers in IBM Watson Research lab to build an unstructured information management platform for knowledge discovery from news.

Education

  • West Lafayette, USA

    PhD
    Purdue University
    Computer Science

Awards

Publications

Skills

AI/ML
LLMs
RAG
Agentic AI
LLM Evaluation
Knowledge Graphs
Technologies
Azure
AWS
Kubernetes
Databricks
Leadership
Team building
hiring
mentoring
cross-functional execution