Vetted Model Evaluation Professionals

“Candidate has built multiple zero-to-one AI/full-stack products spanning bioinformatics search, rental marketplace semantic search, and an SDR agent for a hospitality startup. Particularly strong at turning LLM/embedding concepts into usable products with modular workflows, explainable outputs, and production-minded infrastructure.”

“AI/full-stack engineer with hands-on experience shipping LLM-powered operational workflows in claims and Medicaid contexts. They built end-to-end TypeScript/React/Node systems with RAG, structured outputs, evals, and human-in-the-loop controls, and can point to concrete impact including 45% lower triage time, 38% better retrieval accuracy, and major manual-effort reductions.”

“AI product leader working at TAU Ventures Innovation Lab and previously at Verint and NYSHEX, with a track record of turning legacy and ambiguous AI opportunities into shippable, human-centered products. Notably led Verint’s evolution into a low-code AI orchestration platform with 20+ capabilities and measurable gains in CSAT, handle time, and recurring revenue, while consistently emphasizing trust, workflow fit, and human-in-the-loop design.”

Abhinita Sanabada

Screened

Senior Software Engineer specializing in AI/ML systems and FinTech platforms

San Jose, CA9y exp

“Master’s student in Data Science at San Jose State University with prior software engineering experience at JPMorgan Chase and Zap Labs. She combines enterprise backend reliability work in financial systems with hands-on full-stack AI workflow projects, including a recruiting automation system built with React/Next.js, FastAPI/Node, Kafka, and WebSockets, with a strong emphasis on observability, human-in-the-loop controls, and maintainability.”

“Frontend-focused engineer with experience spanning healthcare, enterprise analytics, and real-time trading products. They have owned React/TypeScript dashboard surfaces end-to-end, including a hospital patient dashboard that cut latency by 50%, and have also shaped backend WebSocket contracts to make real-time systems scale.”

“Product leader in the SaaS remote access space who grew from individual product ownership into building and mentoring a PM team across a full product suite. Particularly strong in enterprise-scale product work, including a 0-to-1 feature suite at AnyDesk that addressed large-customer scalability gaps and shipped in 8 months through careful technical tradeoff management and cross-functional alignment.”