Visionary C-suite technology executive with 25+ years leading enterprise IT operations, AI strategy, and large-scale digital transformations. Bridging the gap between what AI promises and what it can actually deliver.
Enterprises are paying up to 50× more for closed-model APIs than the cost of fine-tuned open-source models—and losing control in the process. The economics have shifted.
The microservices wave left behind a trail of $18K monthly AWS bills and distributed monoliths. The architects winning in 2026 aren't chasing finer granularity—they're consolidating back toward modular design.
RTO mandates are failing at scale—yet leaders keep imposing them. The real problem isn't resistance. It's that we're solving a management confidence crisis by creating a people crisis.
Self-service data ingestion doesn't reduce governance burden—it inverts it, creating unmanaged sprawl faster than governance teams can classify it. Here's why and what to do instead.
You're collapsing vendors to cut complexity. Instead, you're about to hit a wall mid-project that will cost more than the sprawl ever did.
Teams are replacing SaaS with custom builds—but 60% are building outside IT oversight. This is creating a new class of technical debt faster than consolidation saves money.
I am a visionary C-suite technology executive with 25+ years leading enterprise IT operations and technology transformations. Equally fluent in managing complex IT ecosystems — ERP platforms, cloud infrastructure, enterprise architecture, cybersecurity — and architecting AI strategies that embed intelligent automation into core business processes.
My passion for artificial intelligence is foundational. I have been following and working with AI since the 1990s, when I completed both my Engineering undergraduate project and my Master's thesis in artificial intelligence.
Enterprise AI strategy, agentic systems, ML/DL/NLP, GenAI, AI governance, LLM integration
IT strategy, digital transformation, ERP, enterprise architecture, cloud, program management
High-performing teams, vendor negotiations, budget optimization, cybersecurity governance
Open to discussing technology leadership, AI strategy, digital transformation, or potential collaborations.