Apr 2018 – Jan 2020 · 1 yr 9 mos

• Azure Active Directory Modernization, building micro-services with Service Fabric and Azure.
• How we build our service bulletproof:

Nov 2016 – Apr 2018 · 1 yr 5 mos

• Office365 SharePoint Online - New SPO Admin Portal (0->1 project initiative)
• https://docs.microsoft.com/en-us/sharepoint/get-started-new-admin-center
• Leading a team of 10+ engineers to develop new Admin Portal for SharePoint Online
• Technique Stack: REST API, SharePoint Online, Web UX using Office Fabric React
• MAU: 0 -> 200+K, Total Tenants: 30+ Millions
• Key Achievements:
• Bootstrap an extremely young team to ship prod in less than a year, with intensive cross geographic collaboration.
• Continued Hands on R&D, personal shipped features including: Office 365 Customer Facing Data Ingestion, Progress Indicator for site page (Key Techniques: Office Fabric React, Redux, SharePoint List)

Jan 2015 – Nov 2016 · 1 yr 10 mos

• Contextual Search & Personalized Recommendation
• Cortana Restaurant Recommendation Card.
• Cortana Shopping Mall Card. (Bing Incubator Hackday Winner)
• Personalized and Contextual Recommendation & Local Search.
• User Place Of Interest Real-Time Inference and Contextual Recommendation

Jan 2012 – Dec 2014 · 2 yrs 11 mos

• Search & Relevance Pipeline:
• Windows and Windows Phone Apps Store
• Xbox 360 & Xbox One multimedia search, including Movie, TV, Music, and Web Videos
• Windows Phone 8 "Local Scout" location-based deal search
• Key Achievements:
• 1. Shipped various app & multimedia search engine for Windows 8.1, Windows Phone Blue, Xbox, achieved 20%+ app search relevance gains in US, and significant gains for all products across tier-1 markets.
• 2. Large-scale data-driven machine learning & data mining: ranking, vertical search, personalized recommendation, completely drive end-to-end scenario.
• 3. Feature derivation using data mining of large-scale user instrumentation.

May 2010 – Jan 2012 · 1 yr 8 mos

• Developing data ingestion engine and parser platform for Microsoft Amalga UIS:
• Multi-layer client/server/database system design and implementation
• Data acquisition engine
• High-throughput HL7 parsing engine
• Key Techniques: Windows Sever, SQL Sever, .Net, Biztalk, HL7, Data Pipeline, Object-relational database mapping, WCF/WPF/WF
• Key Achievements:
• 1. Shipped paralleled parsing engine: achieve >50%+ improvement in processing efficiency.
• 2. Re-designed and implemented new data acquisition engine: doubled the speed of HL7 file acquisition.
• 3. Microsoft Gold Star Award 2011 (after 6 months joining the company as a newbie).

May 2008 – May 2009 · 1 yr · Greater Philadelphia Area

• Developed advanced medical imaging algorithms and prototype systems (incorporating machine learning and computer vision) for computer-aided detection and diagnosis applications integrated with Siemens Syngo.Via (http://www.siemens.com/syngo.via)
• Machine learning based annotation of medical radiographs (pending U.S. Patent 12/787,916, 2010)
• 3D lung nodule detection and segmentation in CT images
• Interactive 3D image search engine for lung disease quantification
• Generic C++ feature library for 2D/3D images
• Boosting metric learning
• (See demos at http://sites.google.com/site/tabatabaye/cv)

Aug 2006 – Apr 2010 · 3 yrs 8 mos · Washington D.C. Metro Area

• Imaging Science and Information Systems Center
• Algorithm research and system development for computer-aided detection and diagnosis.
• Segmentation, detection, image retrieval for breast lesions.
• 3D MRI Image segmentation & visualization using Level-Set
• Lung nodule detection system in X-ray images
• (See demos at http://sites.google.com/site/tabatabaye/cv)

Apr 2005 – Jul 2005 · 3 mos · China

• Developed Natural Language Processing (NLP) algorithms integrated into text to speech engine of Windows Vista (Chinese and Japanese ver.)
• English to Katakana automatic-transliteration based on decision tree
• Grapheme-to-Phoneme conversion of Japanese/Chinese polyphone words using stochastic-based rule list