Sabidur Rahman

About Sabidur Rahman

Dr. Sabidur \"Sabid\" Rahman is an award-winning computer scientist, tech \"builder\" leader, pioneer in network automation using AI/Gen AI, former professor of CS, and former software engineer/developer. Sabidur has a solid track record of 13+ years, delivering production-grade large-scale AI/ML/software solutions, solving key problems for humanity and helping businesses to monetize AI technology. He is not your \"all-of-a-sudden Gen AI leader with no previous AI/ML experience\".Dr. Sabid is currently Principal Member of Technical Staff with AT & T Labs and a Permanent Resident of USA. As a key member of \"Network Automation and AI\" org, Dr. Sabid is leading multiple ambitious AI/ML/ Gen AI/Data-driven projects, shaping the future (5G and beyond) of our communication industry.Dr. Sabid completed his PhD in Computer Science from University of California, Davis (2020). His contributions on AI/ML/Data include many significant multiple cutting-edge projects with AT & T Labs and ground breaking research publications.Sabidur\'s tech experience in summary-First software engineer role: 2011 (with Samsung R&D)-First successful ML project deployed: 2012 (UTSA)-First Industry scale ML and data pipeline deployed: 2016 (AT & T)-First natural language based business solution (NLP/TensorFlow, back then we did not have LLM): 2017 (AT & T)-Led 10+ AI/ML projects and data pipelines in industry-Led 20+ AI/ML projects in academia-Undertaken leadership roles in AI/ML/Data projects since 2018-Currently leading multiple cross organization AI/ML projects (including generative AI, LLMs, etc.) in AT & TRefer to the list of publications and projects for details at LinkedIn and Scholar profile.Google Scholar: & hl=enOpinions shared are not related to any of my current or former employers.

Experience

1. Principal Member of Technical Staff

   At&t Labs, Inc

   Feb 2022 — Present · San Ramon, CA, US

   Awards:2024 - ATS Optimum Team Award: CTO level recognition2023 - AT & T Connection Award: AVP nominated2022 - AT & T Connection Award: Director nominatedAT & T Labs needs no introduction. As a key member of \"Network Analytics and AI\" org, Dr. Sabidur is leading multiple ambitious AI/ML projects (multi-million dollar aggregated impact), shaping the future of AT & T\'s global-scale networks.Highlights of the projects:– Gen AI/LLM (100M dollar aggregated impact): Leading and contributing to the Gen AI usecases inside AT & T. Key contributions includes: exploring and assessing long-term partnerships with emerging Gen AI platform vendors (Palantir, IBM, Amazon, Microsoft, etc.), contributing to specific usecases, evaluation of monetary impact, decisions on the best technical solution method, etc.– Open Network API (e.g, MVNx) is a key monetization effort for AT & T. Contributing to multiple projects as project stakeholder and individual contributor, based on TM Forum specifications and MuleSoft platform (iTrack/Jira/Agile Scrum)-AI Governance and API privacy: leading AI governance effort with CTO org. Ensuring privacy of our customer and network data when it comes to Gen AI and LLM. Multi-million dollar aggregated impact due to security and privacy impacts.– Stakeholder for AT & Ts 5G data analytics (application performance) based on Microsoft EDRdata, proposed key methods application and user level insights, lead critical decision makingefforts across AT & T organizations (marketing, video policy, operations, etc.) and MSFT.– Lead end-to-end performance monitoring efforts for markets and cell sites: combining livenetwork data, end user experience data, and machine learning methods; user level statisticalperformance guarantee via development and data analysis.

Education

• University of California, Davis

  Doctor of Philosophy (Ph.D.), Computer Science

  2015 — 2020

• The University of Texas at San Antonio

  Master's degree, Computer Science

  2012 — 2014

Skills

• Neo4j
• Software Engineering
• Networking
• Systems Programming
• R
• Shell Scripting
• Software Design
• Software Development
• Computer Security
• Python
• Natural Language Processing
• Perl
• C/C++
• Computer Science
• Java
• Machine Learning
• Odbc
• Weka
• C
• Programming
• Opengl
• Javase
• Awk
• Distributed Systems
• C++
• Research and Development (R&D)
• Algorithms
• Graph Databases
• Sed
• Deep Learning