As an AI Innovation Consultant, I specialize in harnessing the power of Large Language Models (LLMs) to drive advancements in the next generation of AI technology. My career has been a journey of exploring the endless possibilities of AI, from my early days in AI/Data Engineering to my current role as an AI consultant.In my role, I leverage my expertise to shape and guide the development of cutting-edge AI systems. My journey has been characterized by continuous learning, research, and collaboration with brilliant minds in the AI community. Together, we explore new horizons, challenge the status quo, and create AI solutions that make a meaningful impact.In today's rapidly evolving landscape of AI, we find ourselves at an exciting crossroads. As we witness the emergence of neuro-symbolic AI, it becomes increasingly clear that the integration of knowledge management and deep learning approaches is the key to unlocking new frontiers in artificial intelligence while mitigating the challenges of hallucination. The fusion of symbolic reasoning, which embodies human-like knowledge understanding, and the immense power of deep learning models, like Large Language Models (LLMs), creates a synergy that can redefine how we harness AI. This convergence allows us to bridge the gap between data-driven insights and structured knowledge representation, offering a promising path toward AI systems that not only understand but also reason, learn, and adapt in a manner that mirrors human cognition, all while maintaining a critical focus on the avoidance of unintended hallucinations.Balancing the realms of academia and practical application has been a defining feature of my journey. My academic background, including a Ph.D. in Software Engineering, and working as an assistant professor has provided me with a deep understanding of the theoretical underpinnings of AI, knowledge graphs, and natural language understanding/processing. Simultaneously, my two decades of hands-on experience as a software/data engineer in various industry settings have grounded me in the practical aspects of software development and AI implementation. This unique blend of academic rigor and practical expertise has allowed me to bridge the gap between theory and application, enabling me to design and engineer scalable, robust, efficient, and innovative AI solutions.
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Co-Founder And CtoGanava AiToronto, On, Ca -
Staff Software Engineer (Adtech)Walmart Global Tech Jan 2024 - PresentBentonville, Arkansas, Us -
Ai Innovation Consultant - Harnessing Llms For Next-Generation Ai AdvancementsSelf-Employed Aug 2023 - Present
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Data Platform LeadGainx Jun 2021 - Aug 2023London, Ca -
Software Architect (Artificial Intelligence/Nlp)Wysdom.Ai Oct 2018 - Jun 2021Minneapolis, Minnesota, Us -
Senior Nlp DeveloperWysdom.Ai Feb 2017 - Oct 2018Minneapolis, Minnesota, UsKnowledge Management Architect NLP and Ontology-based Knowledge Modeling in AI -
Assistant ProfessorUniversity Of Isfahan Sep 2013 - Dec 2016Isfahan, Ir -
Software Architect Team LeadHttps://Skedpal.Com Jun 2013 - Jun 2016Using AI Technology to Create a Cloud-based Personal Digital Assistant
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Software ArchitectPgdp 2003 - 2008Develop Information Retrieval Solutions and Search Engines for Company Portals and Digital Libraries
Ahmad Zaeri, Phd Skills
Ahmad Zaeri, Phd Education Details
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University Of IsfahanComputer Software Engineering -
Concordia UniversityBig Data Analysis -
University Of MannheimSemantic Web And Open Linked Data -
University Of IsfahanComputer Software Engineering -
Shahid Beheshti UniversityComputer Software Engineering
Frequently Asked Questions about Ahmad Zaeri, Phd
What company does Ahmad Zaeri, Phd work for?
Ahmad Zaeri, Phd works for Ganava Ai
What is Ahmad Zaeri, Phd's role at the current company?
Ahmad Zaeri, Phd's current role is Co-Founder and CTO.
What schools did Ahmad Zaeri, Phd attend?
Ahmad Zaeri, Phd attended University Of Isfahan, Concordia University, University Of Mannheim, University Of Isfahan, Shahid Beheshti University.
What skills is Ahmad Zaeri, Phd known for?
Ahmad Zaeri, Phd has skills like Java, Knowledge Engineering, Software Architecture, Software Development, Java Enterprise Edition, Object Oriented Programming, Machine Learning, Owl, Big Data, Object Oriented Design, Rdfs, Data Integration.
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