CV

Principal Data Science Manager

Microsoft

• Autos Marketplace: Technical lead for Automotive Q&A, My Garage, Autos Listings, and Autos AI features that deliver differentiating content to automotive users.
• Platform for Interactive Concept Learning: Maintained and enhanced the model used by Microsoft Edge for extracting product information form e-Commerce domains.
• Entity Matching: Enhanced the performance of the entity matching stack by addressing the highly skewed data issues, delta entity matching, and optimizing the blocking technique.

Data Scientist Intern

Microsoft

• Conflation Updates: Designed and implemented a conflation update component that is responsible for speeding up the reflection of conflation changes into the Satori final graph.

Research Intern

Microsoft Research

• Dependency parsing: Conducted a series of experiments ranging from Up-training to Entity Linking to improve the dependency parsing accuracy.

Research Intern

Yahoo!

• Recommendation system: Developed a recommendation system for local businesses.

Research Engineer

IBM

• Tag Recommendation Technique: Co-Invented and patented a k-partite graph technique for recommendation of tags during bookmarking of resources.
• Spam Detection: Proposed a set of features that identify spamming bookmarks in social media and evaluated their feasibility over various machine learning algorithms.
• Extracting relations from biomedical text: Developed a system that automatically extracts interactions between entities such as proteins, chemicals, and diseases from biomedical text with preliminary focus on protein-protein interactions.
• Machine Assisted Translation: Developed a system that provides suggestions when translating documents. The system uses a continuous space language models for statistical machine translation.
• Unstructured Information Management Platform: Participated in a joint development with Watson lab in Yorktown to develop a system that analyzes large volumes of unstructured textual information from the news domain to discover, organize, and deliver relevant knowledge to end-users.

Volunteer

Egypt Scholars

Developing software for the visually impaired

PhD in Computer Science

Purdue University

Award of Achievement

IBM