# Syed Fahad Khalid > Product Leader (GenAI/AI/ML) | Expertise in Content Ranking, Recommendation Systems, Search, ML Platforms (Training/Inference), Personalization and Foundational Model Development Location: San Francisco Bay Area, United States Profile: https://flows.cv/syedfahadkhalid ## Work Experience ### Product Lead - Meta Compute (ML Capacity, ROI, Compute Efficiency) @ Meta Jan 2025 – Present | Menlo Park, California, United States Supports Family of Apps (Facebook, IG, Threads) Infra Capacity Efficiency and ROI based Allocation. This covers, GPU, CPU, Storage and etc. AI/ML Capacity and Non AI Capacity (Storage) ### Product Lead - ML Infra Platform (Training, Serving and Inference) @ Meta Jan 2024 – Jan 2025 | Menlo Park, California, United States PM Lead of the ML Infra Platform Team, comprising 50+ AI Research Scientists, I am committed to driving the development of a state-of-the-art ML Infra Platform. Our team is pioneering innovation by building cutting-edge ML training platform, serving infra, and inference platform that support a wide range of GPU hardware with high efficiency (ROI aware). This empowers the next generation of both small and large-scale models. Our platform plays a crucial role in enhancing user experiences across IG Reels, FB Feeds, Connected Feed, Unconnected Feed, and numerous other teams at Meta. ### Product Lead - Recommendation Systems (Discovery, Search, Ranking, Personalization, User Value) @ Meta Jan 2022 – Jan 2024 | Menlo Park, California, United States Bridging the gap between innovative AI technology and impeccable user experience, I serve as an AI Product Lead on Meta's Modern Recommendation System (MRS) Team. Every day, I work at the crossroads of artificial intelligence, user insights, and product strategy, championing solutions that drive personalized experiences for millions of users globally. What I Do: 🧠 AI Leadership: Collaborate with a world-class team of data scientists and engineers to refine and implement state-of-the-art recommendation algorithms. 🔍 Content Discovery: Craft strategies to seamlessly recommend both connected and unconnected content, ensuring users always find value and relevance in their feeds. 🙋 User-Centric Design: Prioritize the user at every stage, focusing on their needs, behavior, and feedback to shape the evolution of our recommendation systems. 📈 Performance Analysis: Monitor and analyze key metrics to ensure the efficiency and accuracy of the recommendation engine, making data-driven decisions to enhance user satisfaction and engagement. 🤝 Cross-Functional Collaboration: Work alongside design, marketing, and business teams to ensure that the AI-driven recommendations align with broader company goals and user expectations. I'm passionate about the fusion of technology and human-centric design, always aiming to deliver digital experiences that resonate on a personal level. If you're interested in the magic behind content personalization or just want to chat about the future of AI in product management, let's connect! ### Sr. Product Manager, AI Trust and Safety - Content/Interest Understanding (ML- Multi Modal) @ Meta Jan 2021 – Jan 2022 | Menlo Park, California, United States With a solid track record in steering product innovation at Facebook and Instagram, I have championed the convergence of technology, AI, and user experience to deliver groundbreaking AI products. Here's a glimpse into my journey: 🚀 Lead Product Manager for FAIM (Facebook AI for Modality) - Scaled a multimodal platform from its nascent stage to an industry leader, currently being used by 1500+ ML engineers. 📊 Graph Learning Pioneer - Introduced and refined graph learning methodologies to swiftly detect fraud and abusive advertisements. This initiative alone resulted in millions of dollars saved via early fraud detection. 🔄 State-of-the-art Hyperparameter Tuning - Spearheaded the development of an avant-garde platform dedicated to auto-tuning parameters for topline objectives, translating into saved weeks for our developer community and improved efficiency. Product Acknowledgement: https://twitter.com/MetaAI/status/1329812854539767809 ### Sr. Product Manager, Data and Actionable Insights Platform @ Meta Jan 2016 – Jan 2021 | Menlo Park PM for UI/UX, cloud and Infrastructure, and Algorithm development for an Analytics Product suite (platform + product). We use several methods, such as Computer Vision (CV), Machine Learning (ML), classic Optimization algorithms, Data science, LiDAR, 3D digital maps/GEO to bring innovation/efficiency/scale to traditional network planning. https://code.fb.com/connectivity/announcing-tools-to-help-partners-improve-connectivity/ ### Angel Investor/Advisor @ Sadiq.ai Jan 2022 – Present | Santa Clara County, California, United States At Sadiq, we're driving the future of video shopping (Short Form and Live Commerce) by creating hyper-personalized shopping experiences through the application of advanced AI and AR algorithms. We're developing a robust suite of tools and algorithms designed to enhance traditional e-commerce practices for local creators, leveraging the power of Generative AI Technologies. We're proud to be part of the most technologically progressive e-commerce start-up in the MENAP region. We're not just building a marketplace, we're crafting an experience! Our offerings include 1) Generative Listings, 2) Generative Search, 3) Personalization based on interests and mood, 4) Integrated Shipping with the option to choose your preferred shipping carrier, 5) Multiple Payment Options, 6) Simultaneous Live Streaming on all social media platforms, 7) AR Measurement with Data Privacy (we don't save any user data), 8) AR Try-on to enhance the shopping experience, 9) Trusted Sellers using Trust Score, and much more. #AI #AR #Ecommerce #Innovation #Technology #LLM #GenAI Demo: https://www.youtube.com/watch?v=iIZVYPYY-Qk ### Principal, Strategy Consulting @ Arthur D. Little Jan 2015 – Jan 2016 | Greater New York City Area Meridian Advisory Group, LLC (MAG) is a premier strategy & management consulting (acquired by Arthur D. Little), technology innovation and investment firm focused on the anytime/anywhere economy (Content, Commerce, Broadband and Wireless Access). Practice Areas: Business & Technology Strategy Digital Transformation Advanced Technology Development (AI/ML Tools) Wireless Technology ### Head of Data Analytics Products @ Ericsson Jan 2015 – Jan 2015 | Plano, Texas Telco Cloud/Analytics Solutions Lead, Experience in data governance and data management concepts and processes Experience in data quality management, metadata management and master data management. ### Director of Radio Product Management - (Radio Dot/Small Cells and LTE) @ Ericsson Jan 2014 – Jan 2015 | Greater Jakarta Area, Indonesia Lead Principal Solutions Architect, RAN Driver of Service Delivery & Business Readiness Team Supported - Product Management and GTM Supported - Product Development Unit (PDU) for Small Cells and Micro Cells Supported - Business Strategy & Planning Team Supported - Business Development Executives (Key Accounts Managers) Supported - Customer Engagements Team Supported - Sales and Solution Support Team ### Sr. Strategy and Management Consultant - Advanced Technology Group (ATG) @ inCode, a division of Ericsson Jan 2012 – Jan 2014 | Plano, Texas - US Member of inCode - The Strategy Consulting Division (Advanced Technology Group) of Ericsson Business / Network Evolution Strategy Product Management and Development Technology Advisory SME LTE/RAN/Small Cells/VoLTE/Backhaul Spectrum Strategy Network/Financial Modeling Practice expertise: MVNO, LTE and Wireless Network Transformation, Product Management and Private Equity ### National Lead Technology Standards (CTO HQ Team) @ AT&T Mobility Jan 2011 – Jan 2012 | Farmers Branch, Texas - US Principal Technical Product Lead at AT&T HQ Led AT&T HQ Standards and Performance Team Worked as a Network Standards and Performance Lead Defined Network Performance Standards, Deployment Processes and Methodology. Defined KPI’s and Hi-capacity Parameters for UMTS/LTE network Led Deployment Vendor Management and RFP process Led E2E Network Tool Development with vendors (IBWAVE, ACTIX, NEMO, JDSU, ASCOM etc) SME to regional markets for high profile events like Super Bowl, NCAA Final Four, INDY 500 etc Project Lead: Super Bowl Venues (2012 & 2013), Lucas Oil Stadium Superdome, Rangers Ballpark etc ### Sr Engineer @ Ericsson Jan 2010 – Jan 2011 | Plano, Texas - US Led Small Cells/DAS/Wi-Fi Design, Deployment, Installation and Optimization Mentor several Wireless Engineers on Small Cells/DAS/Wi-Fi Deployment, Design and PM processes. Provided SME level support during Hi-Capacity - Live Events Supported Product Development Unit in Feature Tests, Customer Feedback, Operator Trials and Deployment Processes. Supported Deployment Vendor Selection and RFP Process ### Product Engineer (VSAT) - Systems, Development & Test Validation @ CapRock Communications - A Subsidiary of Harris Corporation Jan 2009 – Jan 2010 | Houston, Texas - US SME on Auto Acquire Antenna Systems (VSAT) - L-Band, Ku-Band, Ka-Band, X-Band Led Product Development of VSAT Solutions and Product Testing on new Auto Acquire Antenna Hands-on expertise on several Auto Acquire Antenna Systems and VSAT Ground Stations (C-COM, Tracstar, General Dynamics, Wingard, Mesa) Supported Satellite Bandwidth Optimization using CNC (IDirect and Comtech) Led VSAT Product Deployments @ Lab and Customer Trials Led VSAT Satellite Communication Solution Development and Customer Deployments Expert in Satelite Access Technologies - Time Division Multiple Access (TDMA), Asymmetrical Single Channel per Carrier (ASCPC), Single Channel Per Carrier (SCPC), Dynamic Single Channel per Carrier (dSCPC) ### Research Scientist - Photonics and Telecommunication Lab (Optical Fiber Capacity and Performance) @ The University of Texas System Jan 2007 – Jan 2009 | SanAntonio, Texas - US Led the research on Wireless System performance due to a use of RoF Technology. The method is now widely used in Cloud - RAN (C-RAN) & Small Cells/Hetnet. The research was focused on Wireless transmission using Radio over fiber (RoF) for data rate up to 10+ Gbps and mm-wave (100GHZ +) spectrum usage for wireless access and backhaul. Developed a Small cell/C-RAN model using SFDR/SDN. Testing was performed via simulations. Used Optical Repeaters, WDM, DWDM, and CWDM combined network for Backbone. ### RF Planning and Design Engineer (Systems Engineering) @ Mobilink Jan 2005 – Jan 2007 | Karachi,Pakistan -- Technical Site Survery for Macro, Micro and IBS Sites -- Drive Testing for newly On-Air Macro, Micro and IBS Sites -- RF Design and Planning using Asset Planning tool, CW Equipment, TEMS, Mapifo and TEMS Transmitters for new Cities, Capcity Sites, Coverage Sites, Repeater Sites, DAS Sites etc -- Involved in RF Tuning and Optimization of Macro and IBS Sites -- Venue Event Monitering (Traffic Balancing and Congestion Release) -- Designed IBS using Andrew/Powerwave equipment for Airports, Hotels, High Rise Buildings, Corporate Customers, Special Event Venues -- Designed Active/Passive Outdoor DAS and Small Cells solution for Downtown areas -- SME on IBS , Small Cell Design for downtown areas -- Mentor Fresh RF Engineers and Interns Tools: ASSET, MAPINFO, TEMS, CW - GRAYSON, NEMO, RNO - ALCATEL, TEMS TRANSMITTER ### Wireless Systems Engineer @ Aircom International Jan 2004 – Jan 2005 | Karachi, Pakistan RF Cell Site Surveys, Drive testing, RF Tuning and Optimization ## Education ### Master's degree in Engineering The Johns Hopkins University ### Master of Science (MS) in Computer Software Engineering The University of Texas at San Antonio ### Bachelor of Science (B.S.) in Electrical, Electronics and Communications Engineering Sir Syed University of Engineering & Technology (SSUET) ### PGD Program in Artificial Intelligence & Machine Learning: Business Applications in Artificial Intelligence (AI) The University of Texas at Austin ### Certification in Software Product Management (SPM) Product School ### Nano Degree in Introduction to Programming Udacity ## Contact & Social - LinkedIn: https://linkedin.com/in/syedfahadkhalid - Website: http://www.utsa.edu --- Source: https://flows.cv/syedfahadkhalid JSON Resume: https://flows.cv/syedfahadkhalid/resume.json Last updated: 2026-04-05