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Vetted Chief Technology Officers in California
Pre-screened and vetted in California.
Executive CTO / VP Engineering specializing in AI/ML and cloud-native SaaS platforms
Junior Software Engineer specializing in AI systems, retrieval, and knowledge graphs
Richard Bemis
Executive CIO/CTO/CDO specializing in data, AI/ML, and digital transformation
“Founder building a healthcare provider data management startup who has progressed from problem identification to product architecture, patent filing, prototype development, beta customer outreach, and angel fundraising. They also have experience performing technical assessments for VCs and approach company-building with a structured focus on customer demand, risk mitigation, IP protection, and candid core-team formation.”
Jason Levy
Senior Full-Stack Software Engineer specializing in React/Next.js web platforms
“Full-stack engineer with startup experience who owned end-to-end features on Impact’s Hiring Solutions platform, including a hiring inbox spanning React UI and Postgres data models; the product helped drive 500+ jobs filled shortly after launch. Comfortable designing modern React/TypeScript + Node architectures (GraphQL, testing, migrations) and operating on AWS (RDS, EC2/Fargate, S3, Datadog, CircleCI). Also founded their own startup (Bibbr) and made early-stage stack/infrastructure decisions under high ambiguity.”
Jonathan Rochez
Executive Technology Leader (CTO/VP Engineering) specializing in AI strategy and scalable platforms
“Part-time founder building a bootstrapped IT startup in the R&D phase, running multiple product iterations and cost/benefit analyses to validate uniqueness and monetization potential. Has prior experience working for venture capital firms and is familiar with how accelerators operate, with a strong focus on finding investors who can be true thought partners for rapid pivots.”
Executive technology leader specializing in AI, machine learning, and AdTech SaaS
Executive Cybersecurity Architect specializing in cloud, Zero Trust, and compliance
Executive CTO/VP of Engineering specializing in AI transformation for FinTech and regulated SaaS
Executive Technology & Product Leader specializing in e-commerce, marketplaces, and retail platforms
Executive Software Engineering Leader specializing in SaaS, cloud, security, and AI
Executive Chief Product & Technology Officer specializing in SaaS platforms, FinTech, and AI
Executive Technology Leader specializing in AI, Cloud Platforms & Product Strategy
Executive Technology Leader (CTO/VP Engineering) specializing in cloud, SaaS, and AI/ML
Principal Software Architect specializing in FinTech and platform modernization
Executive Engineering Leader specializing in AI, Healthcare IT, and Telecom Platforms
Principal Software Engineer & Architect specializing in cloud-native platforms and AI/LLM systems
Executive AI & Cloud Architect specializing in LLM systems, agentic AI, and low-latency trading
Executive Full-Stack Engineer specializing in AEC tech and geospatial automation
Executive Engineering Leader specializing in data platforms and SaaS
Dan Gervais
Executive technology leader specializing in big data, AI/ML, and SaaS platforms
“Hands-on IT/engineering executive who has led high-impact architecture changes and compliance-driven data systems. Notably built an internally developed columnar database at Troparé (with dual-support UI for legacy/new DBs) and shipped an MVP in 3–4 months with dramatic performance improvements, and previously delivered PCI/opt-out compliant deletion workflows while addressing DB performance and migrations.”
Suraj Gajula
Junior Full-Stack Software Engineer specializing in video and security applications
“Full-stack engineer who built and owned a generative-AI pipeline end-to-end inside the Vibecut video editor using Next.js App Router/TypeScript, Gemini-based prompt routing, and Zustand state management, including concurrency-safe requests. Also integrated Python services to access newly released AI tooling, optimized Postgres/S3 data flows for thumbnails, and built Modal-to-Amplitude workflows for Reddit-driven sentiment/metrics in a pre-seed environment while also handling marketing.”
Ramtin Kazemi
Junior Full-Stack Software Engineer specializing in Django, AWS, and AI/ML
“Full-stack engineer who built and owned an AI-powered personal statement editor in Next.js (App Router + TypeScript), including dynamic routing, server-side data fetching, and typed API route handlers. Post-launch, they handled production monitoring/debugging and shipped reliability/performance upgrades (rate limiting, retries, rollback, DB indexing), and report a 40% latency reduction using Suspense/streaming and React concurrency patterns. Also implemented a durable Temporal-orchestrated AI document workflow with robust retry/idempotency strategies.”