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malekc1/README.md

Malek Chaaban

AI quality, technical product operations, implementation, UAT, failure analysis, and release readiness.

Technical product and AI quality leader with 15+ years of IT leadership and more than two years leading product requirements, implementation, quality systems, and release operations for an automotive retail management platform. My work spans controlled model-behavior evaluation, product analysis, UAT, root-cause investigation, systems integration, and release readiness across browser, backend, data, and mobile products.

Current focus

  • AI output quality, model-behavior testing, and failure classification
  • Product requirements, business rules, acceptance criteria, and UAT
  • Implementation planning, regression protection, and release readiness
  • Cross-layer root-cause investigation across interface, backend, data, and mobile systems
  • Evidence synthesis and decision-ready technical writing

Featured work

  • Automotive Retail Management Platform More than two years leading an end-to-end platform spanning acquisition, CRM, inventory, pricing, listing, sales, transaction, and communications workflows across browser, backend, and iOS systems, supported by 3,788 commits, 87 automated test files, and 304 investigation and decision notes.

  • Controlled LLM Evaluation A controlled LLM behavior evaluation using fixed-prompt trials, matched controls, and reasoning-path classification to identify an ambiguous target construct that could produce unreliable ground-truth labels and false evaluation failures.

  • AI Quality, Technical Product, and Operations Portfolio Case studies covering AI evaluation, automotive retail platform leadership, e-commerce workflow automation, quality systems, and cross-platform product operations.

How I work

I turn ambiguous customer and operational problems into defined product behavior, traceable evidence, testable requirements, implementation plans, and dependable releases. My strongest work combines product judgment with hands-on investigation across interfaces, services, data, and real user workflows.

Background

Based in the San Francisco Bay Area, with experience spanning IT leadership, product operations, technical research, and quality-focused product development.

LinkedIn

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    AI quality, technical product, implementation, UAT, failure-analysis, and release-readiness case studies across complex software systems.