Vetted Chief Technology Officers in the Los Angeles Metro

“Technology leader with experience owning enterprise roadmaps and executing large-scale platform standardization during rapid M&A—most notably driving a tech roadmap across a 37-company portfolio at Regent, tackling technical debt and security gaps via unified cloud-native architecture, IAM/logging, CI/CD, and a global SRE model. Previously scaled an Adobe engineering org from 8 to 40+ across four regions, implementing clear org design, KPIs, and an extreme-ownership culture to support 24/7 operations and enterprise needs.”

Thomas Majchrowski

Screened

Executive Technology Leader (CTO) specializing in SaaS, AI platforms, and M&A integration

Irvine, CA22y exp

“Entrepreneurial builder who created a SaaS system for insurance sales and developed in-house sales/marketing platforms, prioritizing a robust backend that drove over $500k in immediate sales before expanding features. Emphasizes lean, high-impact execution with strong focus on optimization, barrier management, and contingency planning.”

Alexander Goldberg

Screened

Executive Technology & Product Leader specializing in AI/AR SaaS and cybersecurity

Los Angeles, CA30y exp

“Engineering/technology leader with mission-critical experience at JPL NASA on the Mars Curiosity Rover, delivering an AI-driven navigation system designed for zero tolerance for mistakes and reportedly operating with no failures for 15+ years. Also led a monolith-to-microservices, cloud-native migration that improved scalability by 300% and cut deployments from days to hours, and is comfortable switching between executive fundraising/stakeholder communication and deep technical leadership.”

“Exploring entrepreneurship with two concepts: a K-beauty skincare line tailored to the Indian market and darker complexions, and a tech-enabled services business helping legacy companies adopt AI safely. Has early-career experience working with Battery Ventures as an investor in the startup Fasturn and a point of view on deeper VC/studio operational partnership models.”

Richard Bemis

Screened

Executive CIO/CTO/CDO specializing in data, AI/ML, and digital transformation

Long Beach, CA21y exp

“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.”

“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.”

Bibhash Biswas

Screened ReferencesStrong rec.

Executive technology leader specializing in AI/ML, SaaS, and cloud architecture

Los Angeles, CA25y exp

“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.”

Chris Colinsky

Screened

Executive Technology Leader/CTO specializing in data platforms, AI agents, and e-commerce/payments

Los Angeles, CA23y exp

“Engineering leader with hands-on coding time who has driven major commerce and data-platform transformations: defined goop’s omnichannel strategy, unified payments to Square, and rebuilt real-time NetSuite inventory flows plus forecasting tools. Currently reorganized engineering into Product/Data/Support teams to hit aggressive seasonal roadmaps, and led a data-lake/medallion ELT refactor feeding embedded analytics (Tinybird) with improved reliability and cost efficiency; also accelerates onboarding via AI coding tools in a serverless, event-driven architecture.”