I help teams move from AI pilots to governed, production-grade agentic systems — through live programs and hands-on advisory.
Three decades across Europe, the US, and Brazil taught me one lesson: AI value is won in execution — clear scope, reliable multi-agent workflows, and governance that survives production.
I teach that discipline on Maven (Become an Agentic Architect, live workshops, Lightning Lessons, resources) through my AI-Assisted Multi Agent Development (AAMAD) Framework. I also work as a Fractional Chief AI Officer with teams that need embedded judgment, not generic advice — plus O’Reilly live sessions and Pearson certification-aligned programs.
", "headline": "", "title": "Agentic Architect, Pearson SME, Startup Founder, 30 years of global experience", "linkedin_url": "https://www.linkedin.com/in/carmeloiaria/", "x_handle": "@synaptic_ai_25", "custom_social_link": "https://www.synapticai.consulting/", "logos": {"logos": [{"image_url": "https://asset.brandfetch.io/ida_xaMYlM/idHVJB4Rx2.svg", "type": "logo", "file_type": "svg", "uuid": "94709449-f093-4d61-a6b2-45adfb7c116b", "name": "Cisco"}, {"image_url": "https://asset.brandfetch.io/idnSdYFIv9/idFRaZ4Qkh.svg", "type": "logo", "file_type": "svg", "uuid": "3d482e94-67c3-41dd-8d6a-4c1a4ba4aaf5", "name": "Claro Brasil"}, {"image_url": "https://asset.brandfetch.io/idGmZRhyA9/idF0Ef8U9S.png", "type": "logo", "file_type": "png", "uuid": "3ccd1a95-4d08-49e0-bb68-997481a20194", "name": "Pearson"}, {"image_url": "https://asset.brandfetch.io/id-t1egjoa/idwSIOnmW9.svg", "type": "logo", "file_type": "svg", "uuid": "f4389a9c-37fc-41a2-80e5-14c0b96832cc", "name": "O'Reilly"}], "label": "\n"}, "expert_tagline": "will make your Agentic AI execution effective", "primary_color": "#1e3a55", "contact_email": "carmelo@synapticai.consulting", "show_contact": true}}, "pageType": "workshop", "school": {"id": 14990, "slug": "carmelo-iaria", "name": "Carmelo Iaria", "is_stripe_connected": true, "stripe_connect_account_id": "acct_1SGMKOQKOiJgNYbK", "zoom_auth_version": 2, "verified": true, "timezone": "America/Sao_Paulo", "support_email": null, "school_tags": [], "instructor_bio": {"name": "Carmelo Iaria", "preferred_name": "Carmelo", "image_url": "https://user-assets.maven.com/instructor-no-bg/riRgxvDkTDKJ4UcQHemv_carmelo%20iaria%20maven%20photo%20black%20background%20EDIT800.jpg", "image_url_no_bg": "https://user-assets.maven.com/instructor-no-bg/riRgxvDkTDKJ4UcQHemv_carmelo%20iaria%20maven%20photo%20black%20background%20EDIT800.jpg", "bio_html": "I help teams move from AI pilots to governed, production-grade agentic systems — through live programs and hands-on advisory.
Three decades across Europe, the US, and Brazil taught me one lesson: AI value is won in execution — clear scope, reliable multi-agent workflows, and governance that survives production.
I teach that discipline on Maven (Become an Agentic Architect, live workshops, Lightning Lessons, resources) through my AI-Assisted Multi Agent Development (AAMAD) Framework. I also work as a Fractional Chief AI Officer with teams that need embedded judgment, not generic advice — plus O’Reilly live sessions and Pearson certification-aligned programs.
", "headline": "", "title": "Agentic Architect, Pearson SME, Startup Founder, 30 years of global experience", "linkedin_url": "https://www.linkedin.com/in/carmeloiaria/", "x_handle": "@synaptic_ai_25", "custom_social_link": "https://www.synapticai.consulting/", "logos": {"logos": [{"image_url": "https://asset.brandfetch.io/ida_xaMYlM/idHVJB4Rx2.svg", "type": "logo", "file_type": "svg", "uuid": "94709449-f093-4d61-a6b2-45adfb7c116b", "name": "Cisco"}, {"image_url": "https://asset.brandfetch.io/idnSdYFIv9/idFRaZ4Qkh.svg", "type": "logo", "file_type": "svg", "uuid": "3d482e94-67c3-41dd-8d6a-4c1a4ba4aaf5", "name": "Claro Brasil"}, {"image_url": "https://asset.brandfetch.io/idGmZRhyA9/idF0Ef8U9S.png", "type": "logo", "file_type": "png", "uuid": "3ccd1a95-4d08-49e0-bb68-997481a20194", "name": "Pearson"}, {"image_url": "https://asset.brandfetch.io/id-t1egjoa/idwSIOnmW9.svg", "type": "logo", "file_type": "svg", "uuid": "f4389a9c-37fc-41a2-80e5-14c0b96832cc", "name": "O'Reilly"}], "label": "\n"}, "expert_tagline": "will make your Agentic AI execution effective", "primary_color": "#1e3a55", "contact_email": "carmelo@synapticai.consulting", "show_contact": true}}, "course": {"slug": "agentic-architect", "school_id": 14990, "name": "Become an Agentic Architect", "id": 16876, "format": "full_course", "description": "This is a project-based course. In 6 weeks, you will learn a repeatable framework and build your multi-agent AI application ready to launch.", "attrs": {"courses_page_highlight_order_index": null, "custom_landing_page_url": null, "facebook_pixel_id": null, "is_course_application_enabled": false, "is_demoted_on_courses_page": false, "is_hidden_by_maven_staff": false, "is_live_on_courses_page": true, "short_description": null, "skip_landing_page": null, "satisfaction_guarantee_status": "unset"}, "social_image_url": "https://d2426xcxuh3ht5.cloudfront.net/BoyIZpgSBWSIGd5d5wXm_Become%20an%20Agentic%20Architect.jpeg", "course_image_url": null, "clp_hero_media": {"media_type": "image_url", "image_url": "https://d2426xcxuh3ht5.cloudfront.net/ABACG2XiSgOanhSP14C3_Mastering%20Multiagent%20AI%20Systems%20with%20CrewAI.png", "youtube_video_id": "dQw4w9WgXcQ", "vimeo_video_id": null}, "instructor_infos": [{"name": "Carmelo Iaria", "image_url": "https://d2426xcxuh3ht5.cloudfront.net/hYK5HXqWT5mflHTEG9kt_carmelo%20iaria%20maven%20photo%20black%20background%20EDIT.jpeg", "image_url_no_bg": "https://user-assets.maven.com/instructor-no-bg/hYK5HXqWT5mflHTEG9kt_carmelo%20iaria%20maven%20photo%20black%20background%20EDIT.jpeg", "uuid": "73fd2a3a-a003-4a59-8a7e-30bd0d46e1eb", "bio_html": "I help engineers, product leaders, and AI builders move from fragmented experimentation to reliable multi-agent delivery. After 30+ years across Europe, the US, and Brazil, my focus is practical: helping teams design systems that ship with quality, not just demos that look good once.
I teach a repeatable operating model for agentic systems using AAMAD - from scope and context design to architecture, debugging, and delivery checkpoints. In this course, students build real capstone outcomes with coaching, reviews, and implementation support.
", "headline": "Pearson SME, O'Reilly teacher, ex-Cisco", "title": "Agentic Architect, Pearson SME, Startup Founder, 30 years of global experience", "linkedin_url": "https://www.linkedin.com/in/carmeloiaria/", "twitter_handle": null, "custom_social_link": "https://www.synapticai.consulting/", "logos": {"logos": [{"image_url": "https://asset.brandfetch.io/ida_xaMYlM/idHVJB4Rx2.svg", "type": "logo", "file_type": "svg", "uuid": "94709449-f093-4d61-a6b2-45adfb7c116b", "name": "Cisco"}, {"image_url": "https://asset.brandfetch.io/idnSdYFIv9/idFRaZ4Qkh.svg", "type": "logo", "file_type": "svg", "uuid": "3d482e94-67c3-41dd-8d6a-4c1a4ba4aaf5", "name": "Claro Brasil"}, {"image_url": "https://asset.brandfetch.io/idGmZRhyA9/idF0Ef8U9S.png", "type": "logo", "file_type": "png", "uuid": "3ccd1a95-4d08-49e0-bb68-997481a20194", "name": "Pearson"}, {"image_url": "https://asset.brandfetch.io/id-t1egjoa/idwSIOnmW9.svg", "type": "logo", "file_type": "svg", "uuid": "f4389a9c-37fc-41a2-80e5-14c0b96832cc", "name": "O'Reilly"}], "label": "\n"}, "highlights": null, "highlights_html": "Core Credentials
30+ years in technology leadership across Europe, Silicon Valley, and Brazil
Product leadership at Cisco (12 years) and innovation leadership at Claro Brasil (8 years)
AI education and certification SME with Pearson; contributor in O’Reilly learning ecosystem
Founder and AI strategy advisor helping organizations implement production-oriented agentic workflows
Built enterprise AI squads and delivery frameworks adopted in real client environments
Education & Expertise
MSEE Telecommunications, Politecnico di Torino
Data Scientist Professional, Datacamp
Human-Centered Service Design , IDEO
Several GenAI courses, Deeplearning.ai
AI strategy leader and technology innovator with 30+ years’ global experience spanning Silicon Valley, Europe, and Brazil. Former Head of Innovation at Claro Brasil and Product Management leader at Cisco; founder of Synaptic and The AI Academy. Expert in building and deploying real-world AI solutions for Fortune 500s and high-growth startups. Passionate about bridging business and technology, I empower professionals to master the entire AI lifecycle—turning ideas into working products that deliver measurable impact
", "image_url": "https://d2426xcxuh3ht5.cloudfront.net/fjACJaUMR22nNzibHIqh_carmelo%20iaria%20maven%20photo%20black%20background%20EDIT800.jpg", "highlights": null, "linkedin_url": null, "twitter_handle": null, "image_url_no_bg": null, "custom_social_link": null}], "learning_outcomes": [{"uuid": "210f0ba1-98e4-46d3-8abf-df9368adf2f8", "title": "Top Failure Classes", "description": "The most common breakdowns in multi-agent Cursor workflows."}, {"uuid": "312fde39-67e2-4fd3-ba72-a80e65dbf944", "title": "Fast Root-Cause Triage", "description": "A practical method to diagnose causes instead of patching symptoms."}, {"uuid": "ef647365-478e-4438-b3e9-51aecdca416e", "title": "Pre-Production Hardening", "description": "Guardrails that prevent recurring incidents before launch."}]}], "created_at": "2026-04-07T12:59:49.513667Z", "updated_at": "2026-04-07T12:59:56.008337Z", "theme": null, "attrs": {"type": "workshop", "is_canceled": false, "is_delisted": false, "connected_course_id": 16876, "course_stripe_promo_code_id": null}, "school_event": {"id": 9360, "slug": null, "title": "Debug Cursor Agent Failures Before Production", "description": null, "start_datetime": "2026-06-10T16:00:00Z", "end_datetime": "2026-06-10T16:30:00Z", "start_date": "2026-06-10", "start_time": "13:00:00", "duration_min": 30, "timezone": "America/Sao_Paulo", "has_internal_recording": false, "is_recording_public": false}, "num_signups": 34}, "relatedWorkshops": [{"id": 7647, "school_id": 14990, "is_visible_on_discovery_page": true, "is_canceled": false, "is_delisted": false, "connected_course_id": 16876, "workshop_tags": [{"id": 137, "tag_type": "internal_collection", "label": "Instructor", "slug": "Instructor", "description": null, "parent_tag_id": null}, {"id": 271, "tag_type": "internal_collection", "label": "AI Evals", "slug": "ai-evals", "description": null, "parent_tag_id": null}, {"id": 293, "tag_type": "persona", "label": "For Engineers", "slug": "for-engineers", "description": null, "parent_tag_id": null}, {"id": 313, "tag_type": "topic", "label": "AI", "slug": "ai", "description": null, "parent_tag_id": null}, {"id": 315, "tag_type": "topic", "label": "Agentic AI", "slug": "agentic-ai", "description": null, "parent_tag_id": null}], "published_content_page": {"id": 9361, "school_id": 14990, "slug": "6e390c", "content_page_type": "workshop", "sections": [{"uuid": "6e99f073-bf1b-492a-87d1-22304565fb25", "title": "Ship a Production Cursor Agent System in 30 Minutes", "version": 1, "image_url": "https://d2426xcxuh3ht5.cloudfront.net/I7lw9HtS8wGvP3If7E5g_Ship%20a%20Production%20Cursor%20Agent%20System%20in%2030%20Minutes.png", "is_visible": true, "topic_desc": "Many teams learn isolated tactics but still fail to ship reliable multi-agent systems because the pieces are never integrated. Real production readiness requires oversight, memory, debugging, and evals working together. This session connects those parts into one Cursor delivery blueprint you can apply immediately.", "brand_logos": {"label": "Previously at", "logos": [{"name": "Cisco", "type": "logo", "uuid": "33370df5-9d52-47a1-a006-a49762e7ebc8", "file_type": "svg", "image_url": "https://asset.brandfetch.io/ida_xaMYlM/idHVJB4Rx2.svg"}, {"name": "Claro Brasil", "type": "logo", "uuid": "5911c0a0-59b3-47da-b414-c40c4372d629", "file_type": "svg", "image_url": "https://asset.brandfetch.io/idnSdYFIv9/idFRaZ4Qkh.svg"}, {"name": "Pearson", "type": "logo", "uuid": "2da9245d-dad9-41f2-bc77-3e15f3889b1b", "file_type": "png", "image_url": "https://asset.brandfetch.io/idGmZRhyA9/idF0Ef8U9S.png"}]}, "section_type": "main", "instructor_infos": [{"name": "Carmelo Iaria", "uuid": "e7e2e617-c6b4-42f5-95bc-a0927cf1461a", "logos": null, "title": "Founder & CEO at Synaptic AI Consulting | Perplexity Business Fellow", "bio_html": "AI strategy leader and technology innovator with 30+ years’ global experience spanning Silicon Valley, Europe, and Brazil. Former Head of Innovation at Claro Brasil and Product Management leader at Cisco; founder of Synaptic and The AI Academy. Expert in building and deploying real-world AI solutions for Fortune 500s and high-growth startups. Passionate about bridging business and technology, I empower professionals to master the entire AI lifecycle—turning ideas into working products that deliver measurable impact
", "image_url": "https://d2426xcxuh3ht5.cloudfront.net/fjACJaUMR22nNzibHIqh_carmelo%20iaria%20maven%20photo%20black%20background%20EDIT800.jpg", "highlights": null, "linkedin_url": null, "twitter_handle": null, "image_url_no_bg": null, "custom_social_link": null}], "learning_outcomes": [{"uuid": "81ce8736-6f01-4ff8-a874-577741bfdfff", "title": "End-to-End Architecture", "description": "How oversight, memory, debugging, and evals fit into one production stack."}, {"uuid": "b7690aab-3257-48ba-83da-84f78dd74559", "title": "30-Minute Build Blueprint", "description": "A compact implementation flow you can replicate after the session."}, {"uuid": "4a4445fe-da06-4e2d-87d2-95c9660da406", "title": "Go-Live Checklist", "description": "The minimum governance checks to ship with confidence."}]}], "created_at": "2026-04-07T13:01:08.568969Z", "updated_at": "2026-04-07T13:04:03.128680Z", "theme": null, "attrs": {"type": "workshop", "is_canceled": false, "is_delisted": false, "connected_course_id": 16876, "course_stripe_promo_code_id": null}, "school_event": {"id": 9361, "slug": null, "title": "Ship a Production Cursor Agent System in 30 Minutes", "description": null, "start_datetime": "2026-06-24T16:00:00Z", "end_datetime": "2026-06-24T16:30:00Z", "start_date": "2026-06-24", "start_time": "13:00:00", "duration_min": 30, "timezone": "America/Sao_Paulo", "has_internal_recording": false, "is_recording_public": false}, "num_signups": 89}}, {"id": 8093, "school_id": 16737, "is_visible_on_discovery_page": true, "is_canceled": false, "is_delisted": false, "connected_course_id": 20877, "workshop_tags": [{"id": 159, "tag_type": "internal_collection", "label": "LL non-instructor", "slug": "ll-non-instructor", "description": null, "parent_tag_id": null}, {"id": 291, "tag_type": "persona", "label": "For Leaders", "slug": "for-leaders", "description": null, "parent_tag_id": null}, {"id": 293, "tag_type": "persona", "label": "For Engineers", "slug": "for-engineers", "description": null, "parent_tag_id": null}, {"id": 313, "tag_type": "topic", "label": "AI", "slug": "ai", "description": null, "parent_tag_id": null}, {"id": 315, "tag_type": "topic", "label": "Agentic AI", "slug": "agentic-ai", "description": null, "parent_tag_id": null}, {"id": 364, "tag_type": "topic", "label": "System Design", "slug": "system-design", "description": null, "parent_tag_id": null}, {"id": 423, "tag_type": "topic", "label": "AI Governance", "slug": "ai-governance", "description": null, "parent_tag_id": null}], "published_content_page": {"id": 10856, "school_id": 16737, "slug": "f029e1", "content_page_type": "workshop", "sections": [{"uuid": "dd213725-d3ed-4907-924f-e53f271f73dc", "title": "Why Enterprise AI Agents Fail Beyond The Demo", "version": 1, "image_url": "https://d2426xcxuh3ht5.cloudfront.net/F0755niSkSEwkj29rwup_Agentic_AI_Principles.png", "is_visible": true, "topic_desc": "Coding demo agents in a sandbox can be a thrilling hobby, but architecting them for $10B firms is a serious discipline. Without rigid principles, AI devolves into \"development spaghetti\"—fragile logic relying on individual heroics rather than systemic standards. Without these principles, most AI deployments remain shelfware that no serious, regulated environment would risk putting into production.", "brand_logos": {"label": "Previously at IBM, TCS", "logos": []}, "section_type": "main", "instructor_infos": [{"name": "Dheeraj Saxena", "uuid": "152", "logos": {"label": "IBM, Kraft Foods, Essity, IG Group", "logos": [{"name": "Tata Consultancy Services", "type": "logo", "uuid": "7740d615-046c-4ec8-8885-c4a6ea4f690e", "file_type": "svg", "image_url": "https://asset.brandfetch.io/idK2mWG2SJ/idzakDC5Lo.svg"}, {"name": "Wipro", "type": "logo", "uuid": "825a2f73-a053-4ae8-95d6-2190cfd198c3", "file_type": "svg", "image_url": "https://asset.brandfetch.io/id1uICo497/idmpSZUJo8.svg"}, {"name": "Serco Group", "type": "logo", "uuid": "cb94a03e-c31b-4a18-9e3e-00ae12665293", "file_type": "svg", "image_url": "https://asset.brandfetch.io/idv5T2SUn5/id8rVqJCv7.svg"}]}, "title": "Ex-IBM, TCS, Wipro. Executive Architect | 25+ Years Scaling Customer Data, AI & MarTech Solutions", "bio_html": "25+ years delivering enterprise data solutions for iconic UK brands, with the last 5 years focused on AI capabilities. Former senior roles at IBM, TCS, and Wipro.
I specialise in customer data architecture and marketing activation — covering customer data platforms, Vault 2.0 modelling, ID resolution, data governance, Agentic AI, and MLOps.
I teach Senior Technology Professionals, including Lead Data Architects, Head of AI, and Programme Managers who are engaged in high-level discovery, technical feasibility analysis, governance, and conceptual architecture of data platforms for both BI and ML workloads.
Everything I teach is grounded in real implementation experience across Insurance, Multi-channel Retail, E-commerce, and Automotive — practical implications and hard-won lessons, not theory.
", "headline": "", "image_url": "https://d2426xcxuh3ht5.cloudfront.net/yQo5v2QGQIimHZjAVoWa_05-03-2026-2.jpeg", "highlights": null, "linkedin_url": "https://www.linkedin.com/in/dheerajsaxena", "preferred_name": "Dheeraj", "twitter_handle": null, "highlights_html": null, "image_url_no_bg": "https://user-assets.maven.com/instructor-no-bg/yQo5v2QGQIimHZjAVoWa_05-03-2026-2.jpeg", "custom_social_link": "www.datawhistl.com"}], "learning_outcomes": [{"uuid": "c5d81285-787e-4657-b711-60b311c3e7b1", "title": "Prevent AI Agent Sprawl at Scale", "description": "Understand how principles replace developer-dependent \"heroics\" with scalable, repeatable enterprise standards."}, {"uuid": "6679fce1-5936-4027-bb89-443fd839c92b", "title": "Identify Enterprise AI Failure Patterns", "description": "Recognize the architectural anti-patterns that cause AI initiatives to collapse beyond the demo."}, {"uuid": "8817f991-7c37-4935-b049-a6699ba8e2a7", "title": "15 Examples Of Principles in Agentic AI", "description": "Review 15 real-world principles like separate evaluation, deterministic routing, state management and more."}]}], "created_at": "2026-05-12T17:29:52.141961Z", "updated_at": "2026-05-12T17:29:55.703143Z", "theme": null, "attrs": {"type": "workshop", "is_canceled": false, "is_delisted": false, "connected_course_id": 20877, "course_stripe_promo_code_id": null}, "school_event": {"id": 10856, "slug": null, "title": "Why Enterprise AI Agents Fail Beyond The Demo", "description": null, "start_datetime": "2026-06-22T11:00:00Z", "end_datetime": "2026-06-22T12:00:00Z", "start_date": "2026-06-22", "start_time": "12:00:00", "duration_min": 60, "timezone": "Europe/London", "has_internal_recording": false, "is_recording_public": false}, "num_signups": 54}}, {"id": 8377, "school_id": 10334, "is_visible_on_discovery_page": true, "is_canceled": false, "is_delisted": false, "connected_course_id": 11227, "workshop_tags": [{"id": 137, "tag_type": "internal_collection", "label": "Instructor", "slug": "Instructor", "description": null, "parent_tag_id": null}, {"id": 290, "tag_type": "persona", "label": "For Product Managers", "slug": "for-product-managers", "description": null, "parent_tag_id": null}, {"id": 313, "tag_type": "topic", "label": "AI", "slug": "ai", "description": null, "parent_tag_id": null}, {"id": 315, "tag_type": "topic", "label": "Agentic AI", "slug": "agentic-ai", "description": null, "parent_tag_id": null}, {"id": 382, "tag_type": "topic", "label": "AI Evals", "slug": "evals", "description": null, "parent_tag_id": null}, {"id": 432, "tag_type": "topic", "label": "LLM Ops", "slug": "llm-ops", "description": null, "parent_tag_id": null}], "published_content_page": {"id": 11199, "school_id": 10334, "slug": "0638cc", "content_page_type": "workshop", "sections": [{"uuid": "5260134d-da81-4c01-8363-884e6e8228f8", "title": "Stop Flying Blind: Observability for AI Agent PMs", "version": 1, "image_url": null, "is_visible": true, "topic_desc": "Most AI PMs ship an agent and then wait for Slack messages to find out it broke. AI fails gracefully — confident wrong answers, no error codes, no alerts. Without observability, you're not managing a product, you're guessing. This session gives you the foundation to catch failures before users do and own quality as a PM skill, not just an eng task.", "brand_logos": {"label": "Previously at", "logos": [{"name": "Google", "type": "logo", "uuid": "d5bf646e-814f-4cb7-bd70-de3087a2fb71", "file_type": "svg", "image_url": "https://asset.brandfetch.io/id6O2oGzv-/idjOb2YcqW.svg"}, {"name": "Amazon Web Services", "type": "logo", "uuid": "33c2fa3a-fb7e-429b-989d-5265107d5878", "file_type": "svg", "image_url": "https://asset.brandfetch.io/idVoqFQ-78/idAgLCF87x.svg"}, {"name": "Meta", "type": "logo", "uuid": "c08503f8-6162-4792-bdd2-1cb81232886a", "file_type": "svg", "image_url": "https://asset.brandfetch.io/idWvz5T3V7/idpvCl_Ipb.svg"}, {"name": "Microsoft", "type": "logo", "uuid": "bd5e6579-5395-4da4-97db-c23208c6d8bb", "file_type": "svg", "image_url": "https://asset.brandfetch.io/idchmboHEZ/idc7I0n_oy.svg"}]}, "section_type": "main", "instructor_infos": [{"name": "Mahesh Yadav ", "uuid": "24", "logos": {"label": "GenAI Leader", "logos": [{"name": "Google", "type": "logo", "uuid": "e7d68011-b0da-4419-b9f9-2e2084bc44c3", "file_type": "svg", "image_url": "https://asset.brandfetch.io/id6O2oGzv-/idjOb2YcqW.svg"}, {"name": "Amazon Web Services", "type": "logo", "uuid": "88574e87-9463-43a4-97fe-5eae8c0dae60", "file_type": "svg", "image_url": "https://asset.brandfetch.io/idVoqFQ-78/idAgLCF87x.svg"}, {"name": "Microsoft", "type": "logo", "uuid": "e595216c-0763-4c12-9d55-5a0950afa96e", "file_type": "svg", "image_url": "https://asset.brandfetch.io/idchmboHEZ/idc7I0n_oy.svg"}, {"name": "Meta", "type": "logo", "uuid": "ba93b933-f600-4123-b3c5-0c33c6a7e38e", "file_type": "svg", "image_url": "https://asset.brandfetch.io/idWvz5T3V7/idpvCl_Ipb.svg"}]}, "title": "Ex AI Product Lead -Google l Meta l Microsoft l AWS | 10k+ Alums l Founder - Agentic AI Institute", "bio_html": "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.