Mahesh Yadav brings 20+ years of experience building AI products at Google, Meta, AWS, Microsoft. He holds 12 patents in AI training, power management and computer vision. He has launched major agentic-AI initiatives (for example launching an agent for AWS Bedrock, featured in CEO keynote) and trained thousands of professionals to succeed in AI roles. With this programme you get rare access to CEO-level of mentorship.
Substack AI PM Newsletter l Linkedin Community of AI PMs l YouTube For Free Sessions Recordings
Currently, he is building back-office AI agents for the enterprise, starting with in-house legal teams through LegalGraph.AI. His work bridges education and real-world AI deployment, helping organizations adopt agentic systems that automate complex knowledge work.
Mahesh Yadav brings 20+ years of experience building AI products at Google, Meta, AWS, Microsoft. He holds 12 patents in AI training, power management and computer vision. He has launched major agentic-AI initiatives (for example launching an agent for AWS Bedrock, featured in CEO keynote) and trained thousands of professionals to succeed in AI roles. With this programme you get rare access to CEO-level of mentorship.
Substack AI PM Newsletter l Linkedin Community of AI PMs l YouTube For Free Sessions Recordings
Currently, he is building back-office AI agents for the enterprise, starting with in-house legal teams through LegalGraph.AI. His work bridges education and real-world AI deployment, helping organizations adopt agentic systems that automate complex knowledge work.
Mahesh Yadav brings 20+ years of experience building AI products at Google, Meta, AWS, Microsoft. He holds 12 patents in AI training, power management and computer vision. He has launched major agentic-AI initiatives (for example launching an agent for AWS Bedrock, featured in CEO keynote) and trained thousands of professionals to succeed in AI roles. With this programme you get rare access to CEO-level of mentorship.
He founded \"Agentic AI Institute,\" and also building back-office AI agents for the enterprises, starting with in-house legal teams through LegalGraph.AI. His work bridges education and real-world AI deployment, helping organizations adopt agentic systems that automate complex knowledge work.
Mahesh Yadav is a Product Leader at Google GenAI team. Mahesh is one of the world's top AI executives and an award-winning AI Product Educator. His work on AI has been featured in the Nvidia GTC conference, Microsoft Build, and Meta blogs.
Mahesh has 20 years of experience in building products at Meta, Microsoft and AWS AI teams. Mahesh has worked in all layers of the AI stack from AI chips to LLM and has a deep understanding of how GenAI companies ship value to customers. Currently, he leads AI agent at Google Cloud where it is used extensively for Gemini and other key Google products.
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🔗 LinkedIn (30k+)
🎥 YouTube channel (32k+)
🎈 Instagram (4k+)
⛳ Tiktok
🍉 Red (30k+)
🌐 Website
I am Dr. Nancy Li, an award-winning AI Director of Product, LinkedIn TopVoice, and YouTuber with 100K+ tech followers on all social channels, featured on Forbes.
I am a believer in infinite opportunities and the founder of the Product Manager Accelerator (PMA). I created AI PM Bootcamp to help people become the next AI Product Leaders and impact millions of people’s lives.
Rewind nearly a decade back, and I moved to the US with $800 in my pocket with all the motivation in the world, seeking long-term success and fulfillment. I became the youngest engineering PhD. from Boston University and a Director of Product in just FOUR years. I was frequently the youngest & the only woman in executive meetings, and always had the desire to build my own empire and manage my own team.
I had the ideas, vision, and passion, but I didn’t have the tools. Today, I stand before you as one of the leaders of innovation in the world of AI products, and the best part? I can’t write a line of code.
I led a team of 20 people to launch an AI Smart Cities product using machine vision to reduce car crashes which received Mayor's Best Practice Award in 2016 (away before AI was hot :) The product led to a $200 Million Public Private Parternship deal and was invited to present at the NVIDIA GCP Conference.
How did I get here? By studying the industry through a macro lens and developing a robust set of tools that allowed me to streamline the AI product-creation process and bring my ideas to life.
It sounds simple enough, but it took me years to develop a system that I can pass on to my 1,500+ students and a network of insider connections that enables me to reveal these strategies to you.
Here are some popular video training and blog posts loved by my 100,000+ tech followers.
She is a proud creator of two Maven courses:
In my personal time, I run PMA Kids, a nonprofit that provides free AI product management education to teenagers from underserved communities. I’m also a busy mom of two little ones.
📩info@pmaccelerator.io
Have questions or interested in corporate training? Reach out - I'm here to help!
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As Applied AI Product Lead for Uber, I manage all our products around document transcription, computer vision, real time and probabilistic prediction products, personalised experiences, airport/travel experiences, traffic forecasting, driver ETA prediction, delivery time prediction, graph learning and much more.
I previously led the largest AI/ML fraud detection squad at identity verification company Onfido, where I shipped computer vision systems to detect document fraud.
I also founded and ran Factmata, one of the first companies in the world to tackle misinformation and disinformation online using AI. I raised $4.5m in funding from prominent investors and launched award-winning API and SaaS products for content moderation and brand safety. Factmata was acquired by Cision in 2022 and the team now powers all AI products.
I am passionate about using AI/ML to solve real-world problems and create positive social change. I have been recognized as Forbes 30 Under 30 in Technology, CogX UK AI Rising Star, and CIDOB Barcelona Centre for International Affairs 35 Under 35.
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