Vetted AI Agents Professionals

Farabi Hassan

Screened

Principal Product Leader specializing in AI-powered enterprise and marketplace platforms

Seattle, WA13y exp

“Product leader with experience at Zillow, Amazon, and Chewy, focused on high-scale ML and UX-driven product improvements. Has led end-to-end rebuilds and launches that delivered measurable business impact, including a 23% conversion lift in lead routing, 40%+ reduction in delivery-related customer contacts, and 10%+ ecommerce conversion gains.”

“Senior engineering/technology leader with experience driving board-backed, multi-year platform transformations in retail commerce (American Eagle) and scaling ML/product delivery platforms at Amazon Alexa. Known for data-driven build-vs-buy decisions, org scaling (6→80), and measurable outcomes including 98.5%→99.9% uptime, 234 experiments generating ~$200M revenue lift, and increasing delivery velocity from 1.5 to 30 features/week while transitioning to DNN/large-model architectures.”

“Senior product leader with experience across Uber, Netflix, and Expedia, spanning HR tech and travel commerce. Has shipped and evaluated generative AI support experiences, navigated data/privacy trade-offs, and paired strong product judgment with measurable business impact, including a 30% lift in transactions and attach rate at Expedia.”

SHIVA SANDY

Screened

Executive CTO/CIO specializing in FinTech, cloud transformation, and cybersecurity

Walnut Creek, CA27y exp

“Banking/credit-union technology executive (CTO/CTIO) who has led modernization and product delivery through major change, including a post-merger roadmap that helped grow a credit union from $600M to $1.5B in 3 years. Hands-on leader who drove cloud microservices/API architecture, introduced CI/CD, and accelerated releases from quarterly to weekly while scaling teams and operating effectively with distributed/remote orgs.”

“Strategy and operations leader with experience spanning Anheuser-Busch and McMaster-Carr, combining large-scale cost ownership, frontline operations leadership, and sourcing strategy. Particularly compelling for operationally intensive roles: they’ve managed a 150-person service organization, owned a ~$750M cost base, built strategy in ambiguous environments, and independently drove an LLM automation pilot that reached 97% accuracy and saved 3 FTEs.”

“Full-stack engineer with recent startup experience building AI automation products end to end, from React/Next.js interfaces to Python/FastAPI services and Dockerized deployment. Particularly strong in reliability, observability, and workflow tooling for non-technical business users, with additional experience optimizing database-backed monitoring systems at Meta.”