# Navid I. > AI/ML Leader | Executive Advisor | AI Researcher Location: San Francisco, California, United States Profile: https://flows.cv/navidi ## Work Experience ### Principal Engineer/Technical Director (AI/ML) @ Intuit Jan 2021 – Present ### Applied Research Leader (ML/NLP) @ eBay Jan 2017 – Jan 2021 ### Sr. Data Scientist @ Microsoft Jan 2014 – Jan 2017 | Greater Seattle Area I am working in a consulting sector in the Windows and Devices Group specializing in the following broad areas: - Optimizing Business Processes, Operations and Planning: I combine my years of expertise in Operations Research, Machine Learning and Data Science to identify the inefficiencies in business processes, enhance the current operations and to inform business planning based on the cost-performance trade-offs. This encompasses although is not limited to Workforce Planning and Prioritization,Team Restructuring, Shortening Product Cycle through enhancing product pipeline stages and parallelization, Data-Driven Planning for Scarce Resources based on identification of diminishing point of return. - Product Enhancement through Feedback Cycle: I use Deep Learning and Predictive Analytics to model consumers' sentiment (rating) towards the product and to identify the implicit areas of inefficiencies in product. This closes the Product->Feedback Cycle resulting in incremental product improvements. - KPI Definition and Mertic refinement: Designing key metrics that best capture business's performance, are sensitive to product changes and can be traced back to the telemetry data. - Modeling Market Demand and Market Segmentation: I use novel Economic techniques such as Discrete Choice Modeling and advanced Machine Learning algorithms to model consumers' behavior (decision-making) in the market and model market's demand and consumers' price sensitivity towards products. I combine my years of research in clustering with consumer's and Enterprise data to identify best market segments that align with product planning. I also serve as a reviewer for Machine Learning and Data Science conferences and journals MLADS and MSJAR. ### Researcher (Operation Research, Machine learning) @ SFU Jan 2008 – Jan 2014 ### Visiting Scholar (Machine Learning, NLP) @ Technische Universität Darmstadt Jan 2010 – Jan 2011 | Darmstadt Area, Germany Graph-based Techniques for Automatic Dictionary Alignment. Designing an graph-based algorithms for matching word-senses using Weighted Graph Homeomorphism. ### Research Scientist @ Institute for Research in Fundamental Sciences Jan 2005 – Jan 2006 Research on cutting-edge advances in Super-computing, Distributed System and theoretical foundations of Parallel Computing. ### Oracle BI Engineer - SDE @ DSS Inc Jan 2003 – Jan 2005 ## Education ### Doctor of Philosophy (Ph.D.) in Computing Science Simon Fraser University ### Visiting Scholar Technische Universität Darmstadt ### Master's degree Simon Fraser University ## Contact & Social - LinkedIn: https://linkedin.com/in/navidiii --- Source: https://flows.cv/navidi JSON Resume: https://flows.cv/navidi/resume.json Last updated: 2026-04-12