Sarosh H.

Most AI projects fail in production — not because the model is wrong, but because the surrounding system isn't built to handle it. I fix that.

I am an Expert-Vetted AI CTO and former enterprise CIO with $200K+ earned on Upwork, 100% Job Success, and 24 years building systems that have to be secure, auditable, and reliable from day one. I currently lead 30 engineers and remain hands-on in architecture, critical code paths, evaluation, security, and production delivery.

Recent outcomes:

• Built and led an autonomous AI customer-operations platform to $1M ARR; a ground-up v2 rebuild and agent launch increased customer resolution rates by an average of 30%.

• Deployed HIPAA-compliant NLP-to-SQL analytics across 50 pharmacy locations for an approximately $100M enterprise.

• Built a multi-intent support agent operating across a $1M ARR portfolio of Shopify businesses, integrating email, commerce, shipment tracking, knowledge rules, policy gates, and human escalation.

• Delivered an enterprise AI API secured with Entra ID, OAuth2/JWT, tenant/user access controls, strict JSON contracts, and production Azure deployment.

• Built private on-premises legal intelligence, corporate credit-risk automation, technical-document AI, and conversational lead qualification with live-call transfer.

• As CIO, led technology strategy while a major enterprise grew from $800M to $1.71B, reduced IT operating expense approximately 20%, and retired approximately 70% of legacy applications.

I work across agentic AI, RAG and hybrid retrieval, NLP-to-SQL, tool execution, human approval, evaluation, LLMOps, observability, multi-tenant isolation, APIs, cloud, and production hardening.

Best-fit engagements: fractional CTO/CAIO leadership, architecture rescue, production agent systems, regulated enterprise AI, technical diligence, or end-to-end product delivery. You get my direct involvement on architecture and consequential decisions, with a senior team available when the delivery needs more than a solo contractor.

If the system has to work in the real world — not just in a demo — let's talk.