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Vetted Chief Technology Officers in California
Pre-screened and vetted in California.
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 product and platform engineering leader specializing in AI and cloud-scale systems
Executive Technology Leader specializing in AI, Cloud Platforms & Product Strategy
Executive technology leader specializing in AI, SaaS, and FinTech innovation
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 technology leader specializing in streaming media, AdTech, and SaaS platforms
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
Executive engineering leader specializing in AI, FinTech, and cloud platforms
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.”
Bibhash Biswas
Executive technology leader specializing in AI/ML, SaaS, and cloud architecture
“Hands-on CTO and player-coach engineering leader from MindShow who led a 10-person team, transformed a services business into a licensable product sold to Fortune 500 customers, and stayed deep in architecture, AI, and UI work. Particularly notable for combining microservices/system design leadership with practical AI product delivery in speech and media workflows, including a phoneme-generation system the candidate says achieved 99.9%+ accuracy.”
Ravi Gairola
Executive engineering leader specializing in AI platforms and cloud infrastructure
“Engineering leader and hands-on architect with experience managing three teams spanning product, internal tooling, and ML, while also building AI chat and digital twin systems. Particularly notable for a patented memory architecture used to impersonate users in meetings/chat, plus prior delivery of a consumer digital payments system for Razer under tight deadlines and heavy tech debt.”
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.”