AI Product & Engineering Executive · Hands-on Architect

Hands-on AI product and engineering executive with 20+ years across software, cloud, data, and distributed platforms. I lead 30 engineers while staying close to Python, TypeScript, retrieval, evaluation, observability, and the production failure modes that decide whether a system earns trust. My recurring work is turning fragmented operating processes into bounded, source-grounded products that people can review, run, and improve.

20+

Years of Experience

Engineers Led

24+

Large-Enterprise Clients

Core Competencies

Controlled AI Product Systems

Expertise Level96%

Graph workflows and tool execution

Hybrid RAG and vector retrieval

Evaluation and release evidence

Source lineage and uncertainty

Python/FastAPI

Azure OpenAI

Platform Architecture & Operations

Expertise Level95%

Azure, AWS and model gateways

PostgreSQL / pgvector

APIs, events and durable workflows

Containers and infrastructure as code

Privacy-safe observability

Staged release and recovery

CTO / Head of Engineering Leadership

Expertise Level96%

Leading 30 engineers within a 110-person firm

Former CIO of a 45-person organization

Bounded pilot and production transition

Operating-model and platform modernization

Hiring and mentoring leaders

Boardroom-to-codebase execution

How I Work

I start with the operating decision and the evidence it requires. Models handle bounded reasoning and generation; deterministic services own authorization, policy, accepted calculations, side effects, and audit. Human owners retain consequential release authority. Evaluation, production signals, and recovery evidence decide what moves forward.

Other Sites

Pendoah.ai SHTrial Demos MahumTech.com