We're engineers who help companies use AI to solve specific, measurable problems — not hype-chasers building AGI.
42 Robots AI was founded in 2023 with a simple belief: LLMs are powerful tools, but only when integrated thoughtfully into real business systems. We're not building AGI. We're not chasing hype. We're engineers who help companies use AI to solve specific, measurable problems.
Based in Dallas, Texas. We work with clients across the US.
CEO & Lead AI Engineer
Master's in Industrial Engineering, 6 years at Texas Instruments as an IE. 11 years running an automation/SEO business. Backend/Python developer, systems thinker. Hands-on with every client engagement. Based in Dallas, TX.
Cofounder, Design & Front-End
A decade of UI/UX experience leading design strategy. An advocate for users and a creative powerhouse for products, ensuring visually stunning and user-friendly solutions.
Cofounder, Product
Expertise in product and engineering management, driving the company's growth by prioritizing the development of scalable AI solutions. Details and planning are always part of his process.
Senior AI Engineer
Builds and maintains 42 Robots' healthcare document intelligence pipelines, working across Databricks, AWS, and PostgreSQL to extract structured data from medical referrals at scale. His stack includes MLflow for model and prompt lifecycle management, self-hosted VLMs on GPU clusters, Amazon Bedrock for LLM inference, and QuickSight/Athena for operational analytics.
AI Engineer
Combines strong machine learning fundamentals with practical engineering to build reliable AI systems that deliver measurable business impact. Designs and deploys production-grade AI automation solutions that transform complex workflows into scalable intelligent systems, including AI agents, advanced document processing pipelines, and data-driven applications.
Project Manager
Project Manager and Scrum Master at 42 Robots, leading the delivery of production-grade AI and automation solutions across healthcare, document intelligence, and enterprise workflows. Works closely with clients and engineering teams to define project scope and guide the development of systems including OCR pipelines, LLM-powered workflows, and structured data extraction.
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