Fahad Shah

Fahad Shah Email and Phone Number

Director @ Oracle Cloud
Bellevue, WA, US
Fahad Shah's Location
Bellevue, Washington, United States, United States
Fahad Shah's Contact Details
About Fahad Shah

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 improving patient outcome.I excel at organizational and thought leadership and delivering products by solving customer problems driving usage and growth metrics. I've driven strategy by defining future vision at company and org level and setting up right priorities and deliverables to get there over multi year roadmap. I have lead many cross functional and multinational teams, comprising of engineering & sciences leaders, to solve problems using state of the art deep learning based models. This includes E2E delivery, working with complex data and solving challenges from data acquisition to storage, processing, model building, deployment in production, A/B testing and model/data lifecycle management. Some highlights of my past stints include:Healthcare AI and Data Services OCI - Oracle Inc.Leading the efforts around engineering and sciences for solving health care data challenges using Generative AI Decision Ai Services OCI - Oracle Inc.Lead the development of Anomaly Detection Service and sciences efforts across the Decision AI orgHP Inc.Lead the ML transformation across company working in senior leadership role focusing on Machine Learning, working on one of largest IoT platforms in industry.Azure Machine Learning Microsoft Inc.As Data Scientist with AML in a senior role, I partnered with internal/external teams in implementing Machine learning solutions using Azure ML serving as project lead (full POC from initial engagement to deliverable). I also led thought leadership in determining Azure ML future directions & best practices for Microsoft from early stages of the team. Lead efforts on creating awareness and community building via public speaking/Hackathons.Social Incubation (Bing) Microsoft Inc.Lead work on new directions within social space in Search Engine context, as startup, that got 6 MM $ funding (from 20 projects). I contributed to determining future directions, helping in executing them & analyzing user interaction including social features on search, tail/DSAT query analysis, KPI, Machine Learning/Statistics, rapid prototyping, server side programming.Data Mining Microsoft Inc.I worked on Bot Detection for Bing using traffic/user behavior (spam/query/click) analysis, shipping high impact deliverables & useful insights using Machine learning with distinguished contributions

Fahad Shah's Current Company Details
Oracle Cloud

Oracle Cloud

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Director
Bellevue, WA, US
Fahad Shah Work Experience Details
  • Oracle Cloud
    Director
    Oracle Cloud
    Bellevue, Wa, Us
  • Oracle
    Senior Director
    Oracle Sep 2024 - Present
    Austin, Texas, Us
    Heading Responsible AI related efforts
  • Nips, Icml, Iclr, Kdd, Ieee Transactions, Cikm, Flairs, Aistats, Insna
    Conference Program Committee And Reviewership
    Nips, Icml, Iclr, Kdd, Ieee Transactions, Cikm, Flairs, Aistats, Insna Jan 2011 - Present
    • 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
  • Data Science Dojo
    Mentor And Non-Profit (Data Science Dojo, Kdd, Etc.)
    Data Science Dojo May 2014 - Present
    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
  • Self-Employed
    Public Speaker
    Self-Employed Jan 2018 - Present
    Speaker/Keynote at public conferences/events
  • Oracle Cloud
    Director
    Oracle Cloud Jun 2021 - Aug 2024
    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
  • Hp
    Distinguished Research Scientist
    Hp Jun 2017 - Jun 2021
    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.
  • Microsoft
    Data Science Leadership - Azure Machine Learning (Azure.Com/Ml)
    Microsoft Mar 2014 - Jun 2017
    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.
  • Microsoft
    Software Engineer/Data Scientist At Social Incubation
    Microsoft Jan 2013 - Mar 2014
    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.
  • Microsoft
    Software Engineer/Data Scientist At Bing Data Mining Team
    Microsoft Nov 2011 - Jan 2013
    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.
  • University Of Central Florida
    Research Assistant
    University Of Central Florida Jan 2009 - Nov 2011
    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.
  • University Of Central Florida
    Teaching Assistant
    University Of Central Florida Jan 2008 - Dec 2008
    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.
  • Microsoft
    Sde/Sdet Intern With The Bing Data Mining Team
    Microsoft May 2010 - Jul 2010
    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.
  • Ned University Of Engineering And Technology
    Lecturer
    Ned University Of Engineering And Technology Sep 2005 - Dec 2007
    Taught Software Engineering, Internet Computing and other similar subjects at the University level.
  • Startup
    Software Development Engineer
    Startup Apr 2002 - Dec 2007
    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.
  • Ned University Of Engineering & Technology
    Software Development Engineer
    Ned University Of Engineering & Technology May 2004 - Sep 2005
    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)

Fahad Shah Skills

Machine Learning Data Mining C# Artificial Intelligence Java R Big Data Data Analysis Mysql Matlab Natural Language Processing Javascript Project Management Nltk Jsp Data Visualization Mapreduce Wcf Pl/sql Lucene Servlets Silverlight Pattern Recognition Entrepreneurship Tomcat Asp.net Mvc Wpf Intelligent Agents Social Network Mining Weka Social Network Analysis Recommendation Agents User Studies Statistics J2ee Sentiment Analysis Multi Dimensional Data Analysis Etl Ucinet Xna Destination Prediction Dynamic Network Modeling Log Analysis User Behavior Analysis Analyzing Olap Data Collaborative Filtering Thought Leadership Team Leadership Pyspark Spark

Fahad Shah Education Details

  • University Of Central Florida
    University Of Central Florida
    Computer Science
  • University Of Central Florida
    University Of Central Florida
    Computer Science (Artificial Intelligence)
  • Ned University Of Engineering And Technology
    Ned University Of Engineering And Technology
    Computer Architecture
  • Ned University Of Engineering And Technology
    Ned University Of Engineering And Technology
    Computer And Information Systems

Frequently Asked Questions about Fahad Shah

What company does Fahad Shah work for?

Fahad Shah works for Oracle Cloud

What is Fahad Shah's role at the current company?

Fahad Shah's current role is Director.

What is Fahad Shah's email address?

Fahad Shah's email address is sf****@****ail.com

What schools did Fahad Shah attend?

Fahad Shah attended University Of Central Florida, University Of Central Florida, Ned University Of Engineering And Technology, Ned University Of Engineering And Technology.

What skills is Fahad Shah known for?

Fahad Shah has skills like Machine Learning, Data Mining, C#, Artificial Intelligence, Java, R, Big Data, Data Analysis, Mysql, Matlab, Natural Language Processing, Javascript.

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