Fahad Shah Email & Phone Number

Bellevue, Wa, Us

Austin, Texas, Us

Heading Responsible AI related efforts

• Reviewer NIPS 2016, 2017-2021,2023-2024 (Neural Information Processing Systems)• Reviewer AAAI 2021• Reviewer ICML 2018, 2019, 2020, 2022, 2023 (top 10% reviewer & session chair backup for 2022)• Reviewer ICLR 2019, 2020, 2021, 2022,2023• Program Committee AISTATS 2017, 2018, 2019, 2020, 2023 (International Conference on Artificial Intelligence)• Reviewer Internal HP Internal Research Conference 2018• Reviewer MSJAR Internal Microsoft Research Journal 2015, 2016, 2017• Sponsorship & Event officer SIGKDD Seattle chapter• Joint Proceeding CARE-AVSA 2014: PC member• Reviewer IEEE Transactions on Computational Intelligence & AI in Games• Program Committee FLAIRS 2015, 2014, 2013, 2012, 2011 conference, Session chair FLAIRS 2012• Honorary committee member for Social Media 2013 • Sub-reviewer CIKM 2013 conference • Sub-reviewer KDD 2012 conference • Session Chair INSNA Sunbelt Conference 2011 session on Online social networks

Redmond, Wa, Us

Volunteering my time ( also check out volunteer section) mentoring people on data science projects and help with event organization for organizations such as KDD, and growing people's careers- Mentor at data science dojo http://datasciencedojo.com/about/team/ (featured in top bootcamps in 2015 http://www.skilledup.com/articles/list-data-science-bootcamps/)- sponsorship and event officer for SIGKDD Seattle chapter(stay tuned for our first event

Speaker/Keynote at public conferences/events

Austin, Texas, Us

Leading engineering and sciences efforts for development of Large language models for synthetic data generation efforts, GPU service for training generative AI models and solving health care data for Large Language modeling use cases in healthcare. Previously lead org building Decision AI services.https://m.youtube.com/watch?v=lhF0tt_xNQc

Palo Alto, Ca, Us

As executive leader, Head of Machine Learning, I lead the Machine Learning transformation across the company contributing to shaping up the Machine learning strategy for the company, big bets and focus areas.

Redmond, Washington, Us

Working in a senior role, I contribute to providing thought leadership for Data Science within Microsoft and setting up standards and practices for solving data science problems.I lead cross-functional projects on solving machine learning problems for both internal and external customers using the Azure Machine Learning platform - from executive presentation, understanding customer domain, defining proof of concept, implementing/executing to delivery and post deployment assessment and final contract proposal and review . I have worked on Product demand forecasting, Predictive Maintenance, Channel growth, Promotions Sales impact (MMM) and Ad bid price prediction and MTA with CVO/Funnel optimization using click stream/conversion data external partners, and Customer Churn Prediction, Customer Retention/Growth, Fraud detection in online transaction fraud, Stream analytics, anomaly detection for Microsoft teams. I also do public speaking/hackathons on using Azure ML.

Redmond, Washington, Us

I moved to work on Incubation projects in the social space (while continuing to be part of Bing). As part of a small team, working with researchers from MSR I would be looking at the social experiences and see how can we increase the user engagement and make our search engine better for social scenarios. Our project just got 6 million $ funding.

Redmond, Washington, Us

Bot DetectionI am specifically assigned the primary responsibility of detecting bots (a.k.a bot detection) for Bing and Yahoo. I have been through 2 release cycles shipping delivering high quality, high impact deliverables. I have numerous patents filed based on my work (keep tuned in). I am proud to be among the few members with distinguished contributions to the team for Neon milestone for guidance on bot detection.Bots are automated programs that surf the internet websites for gathering data and can be malicious or benign. Either way they result in - distorting the user metrics (which essentially means all our calculations for user behavior, market segment and query segment can be skewed) and - consuming our time and efforts (that could have been used to serve the users) to serve the bots.I am member of the first-response team to look into live site issues involving bots that include:- suspicious traffic investigation, - spam analysis, - user behavior analysis, - novel traffic analysis, - query analysis, - session analysis,- user engagement metrics analysis,- traffic pattern identification for Bing and Yahoo. We interact with host of other partners and collaborate with other teams in sharing the knowledge base and looking at common issues.

Orlando, Fl, Us

- My thesis is on "Human Group Behavior Analysis in Virtual Worlds", concerning the social network mining, social network analysis, community analysis and dialog analysis (NLP) aspects. I have also worked on Social Recommendation Systems for Virutal Worlds and Destination Prediction for Virtual Worlds.- I was on the program committee for AAAI - FLAIRS 2011 conference and also on the program committee for FLAIRS 2012. I am also tasked with reviewing research papers for other conferences as part of my responsibilities as well.

Orlando, Fl, Us

I have been a Teaching Assitant for Introduction to Computer Programming and Computer Architecture, with the responsibilities for conducting the lab sessions for the students, grading the tests and sometimes also conducting in-class lectures. My responsibilities also included preparing material for adding to the understanding and development of the course objectives for the students, conducting one-on-one and group sessions for helping students with difficulties, encouraging group-work and solving common problems.

Redmond, Washington, Us

With the Bing Data Mining team i was responsible for developing software for offline analysis of the trends, useful for day-to-day analytics or anomaly detection for the data collection pipeline, including provisions for higher level analysis (deep drive) and visualization (at the database and cube level with prototype development for raw logs). I am proud to be of the few interns given the chance to demo to the SVP Bing, Satya Nadella.

Taught Software Engineering, Internet Computing and other similar subjects at the University level.

London, Gb

Worked on Java/J2EE/J2ME and UML (2002-2004) and C#/WPF/WCF/XAML (2005-2007) for various freelance and Startup projects including - shopping cart (multi-tier application with Oracle and JBoss)- Fuzzy logic based Intelligent testing for student evaluations among other applications.

Web Application (Web Site) back-end (server-side) development using JSP and Servlets with Oracle 8 as the Database for the library web site for the NED UniversitySupporting Network Management for Windows 2000 network (Managing user accounts and privileges in Active Directory, installation of Operating System and Antivirus checks and Malware removal)

Phd, Computer Science

M.S, Computer Science (Artificial Intelligence)

M.Engg, Computer Architecture

Bachelor Of Engineering, Computer And Information Systems