Hamza Farooq's Linkedin Analytics

I am a Founder by day and Professor by night. My work revolves in the realm of NLP and Multi-Modal Systems. We created traversaal.ai with one vision: provide scalable LLM Products for Enterprises, which can seamlessly integrate within the existing ecosystem, while being customizable and cost efficient. If you are building Gen AI capability within your infrastructure and finding it challenging, we might just have a solution for you that can help you go to market faster and tremendously reduce cost. Email us at: [email protected] Learn more about my course on LLMs here: https://maven.com/boring-bot/llms-for-leaders Background: I have 15+ years of experience of leading Data Science/ Machine Learning teams. My area of expertise is Experiment Design, NLP, Recommend-er Systems and Time Series forecasting. My experience spans over three continent and seven countries across APAC, Middle East and Africa and North America and multiple industries, namely, Tech, Telecommunications, Finance and Retail. Specialties: Large Language Models,Causal Inference, Deep Learning, Graphical Modeling, Cloud Computing, Retail Analytics, Optimization, Game Theory, NLP Recent Speaker Engagements: -- Keynote Workshop: Building LLM Powered Solutions, SDC 2023 -- Fireside Chat, Thrive-Wise, 2023 -- Building Machine Learning Solution, U. of Minnesota, 2023 -- LLM BootCamp, Google, 2023 -- LLM Use cases in organizations, Google, 2023 -- The future of semantic search, RE.WORK, San Francisco 2023 -- Keynote Speaker: NLP - Building Search from scratch using Transformers, Berlin MLW 2022 -- Building User Context through Embedding, Deep Learning World 2022 -- NLP Use Cases and Innovation, AI Summit 2022 -- Data Science Tech, U of M, Twin Cities 2021 -- Retail Analytics, UT, Dallas, 2021 -- IEEE Infrastructure Conference, 2020 -- Ai4, AI Retail Panel, 2020 -- Predictive Analytics World, Las Vegas, 2020 -- Leading Retail in 2020, MIT, 2020 -- DATAx AI Summit Keynote Panel, NY, 2019 -- Unlocking the Power of Data Science, 2019 -- Retail Tech, Columbia University, NY, 2019 Patent:https://patents.google.com/patent/US10489742B2/en