CV
Basics
| Name | Amgad Madkour |
| Label | Engineering Leader |
| amgad.madkour@gmail.com | |
| Url | http://amgadmadkour.com |
| Summary | Engineering leader with 10+ years of experience building and shipping AI-powered products at scale. Deep expertise in Artificial Intelligence, Knowledge Graphs, Data Management, and Data Integration. Proven track record of building and leading high-performing teams from the ground up, driving roadmap alignment across organizations, and delivering measurable outcomes on products serving millions of users. Currently managing a team of Software Engineers and Applied Scientists across Microsoft's consumer AI products. |
Work
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2022.03 - Present Redmond, USA
Principal Engineering Manager
Microsoft
- Built a team from scratch, owning full hiring, role definition, leveling, promotions, and performance management across engineers and applied scientists.
- Lead commerce savings in Microsoft Copilot, defining the platform architecture and technical direction for ML-driven features including product tracking, automatic coupons, cashback, and price alerts --- serving millions of users across Web, Mobile, and Edge.
- Drove roadmap alignment across design, product, UXR, engineering, and applied science orgs as DRI to integrate core shopping scenarios into Copilot.
- Redesigned and scaled the savings platform architecture to support multiple products and millions of users with high performance and reliability.
- Doubled product tracking growth within six months; introduced reliability standards and quality gates that improved platform stability across the team.
- Delivered Microsoft Autos AI Assistant --- the first generative AI-powered assistant on an automotive marketplace --- contributing to 3× DAU growth and 100% YoY revenue growth.
- Built "My Garage" and Autos Copilot for Microsoft Autos Marketplace.
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2019.01 - 2022.03 Redmond, USA
Senior Data & Applied Scientist
Microsoft
- Defined the autos entity framework technical architecture adopted across Bing, MSN, and Microsoft Autos Marketplace.
- Fine-tuned ML models for product information extraction on Microsoft Edge, improving accuracy and production reliability.
- Designed a graph representation linking entities to news articles, powering downstream annotation and entity linking services.
- Cut computation and storage costs for entity matching workflows by 50% through indexing and candidate generation optimizations.
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2006.02 - 2010.09 Cairo, Egypt
Research Engineer
IBM
- Co-invented a patented k-partite graph technique for tag recommendation during resource bookmarking.
- Developed a spam detection system for social bookmarking using semantic features evaluated across multiple ML algorithms.
- Built an unsupervised biomedical NLP system for extracting protein-protein interactions from scientific literature.
- Contributed to a machine-assisted translation system using continuous space language models for statistical machine translation.
- Collaborated with IBM Watson lab (Yorktown) on an unstructured information management platform for knowledge discovery from news.
Education
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West Lafayette, USA