Founder | AI Native Strategy & Advisory | Solution Architect | Responsible AI | AI Audit

Senior AI & Technology Executive with 23+ years of transformative leadership experience spanning enterprise and startup ecosystems. I parter with the CTO and Founders to reinvent Agentic and GenAI adoption through strategy, innovation, and solution architecture. My focus areas are: 50% solution and strategy, 30% agent and data readiness, and 20% production adoption.

This Udemy course venture is more of summary of my daily blogs, research papers, ideas at work. This is not a perfect recipe but more of sharing a practitioners perspective across implementation of use cases.

I am currently working on use cases in Enterprise GenAI Adoption, Agentic / GenAI solutioning, as well as in the Video, Image, Text, Data, Database, and AI Adoption. I work extensively with "Data" and consider myself a Generalist with a passion for Product, Data, and Technology. I hold two granted patents in Retail and Computer Vision. I hold a Master’s degree in Data Science from the Indian Institute of Technology, Hyderabad.

Over the course of my extensive career, I have worked with several high-profile organizations and consulted across diverse domains, including Amazon, Microsoft, Publicis Sapient, Sensormatic, Unilever, Tesco, Macy's, McDonald's, The Children's Place, The Container Store, Anglo American, UPS, Belcorp, Fractal, Optum and GenAI focused product /consulting startups Lyzr, Proplens, Servcrust, Zubera, SAM Corporate.

AI Advisory - phygitalytics (Physical X Digital X Analytics X Responsible GenAI Adoption)

1. IMO, AGI = Automate, Augment, and Guided Intelligence, NOT Autonomous (Control panel matters)

2. Capability without control = Enterprise Failure

Making AI Work = ML/DL/GenAI tech skills + Domain expertise + Product knowledge + Competitor landscape insights + Strategy + Responsible AI.

(I have a blend of all these to bring solutions into production, combining roles as a Solution Architect, AI PM, and Developer.)

Learning with first principles involves actively engaging with the course, gaining diverse perspectives, analyzing various case studies, ideating through prototyping, and developing a deeper understanding of solution perspectives. It’s not a zero-or-one stance; focus on areas you can connect with and progress forward.

If your company is interested, I’m happy to host a 30-minute Leadership/Guest Session covering real GenAI success and failure stories, common blind spots, and an open AMA on how teams are navigating this evolving space.

My work spans AI architecture, GenAI adoption, and consulting reinvention grounded in real projects, not playbooks. If you're moving from GenAI pilots to production systems or need to fix what’s already failing, let’s talk.

I would rather be an imperfect teacher than a perfect LLM AI Avatar, Mistakes make us human :)

Available for Fractional AI advisory, Architecture reviews, AI Strategist, AI Audit, Fractional AI Product Mgr, and 0→1 product builds.