Michael Parker, a former Docker engineering leader, has joined TurinTech as Vice President of Engineering to scale its Artemis AI platform, enhancing AI-driven software development. Announced on August 5, 2025, this move strengthens TurinTech’s mission to deliver trusted, production-ready code through agentic AI, as the platform gains traction with enterprises like Intel and Taylor Wessing.
Michael Parker, ex-Docker VP, joins TurinTech as VP of Engineering.
Tasked with scaling Artemis, an AI-driven code optimization platform.
Artemis used by global enterprises like Intel, Taylor Wessing, and Deaglo.
Parker brings expertise in developer tooling and platform modernization.
Recruited former Docker colleagues Johnny Stoten and Diogo Ferreira.
TurinTech raised $20M, including a $15M Series A in 2024.
Michael Parker’s appointment as Vice President of Engineering comes at a pivotal time as TurinTech prepares for a broader rollout of Artemis, its evolutionary AI platform designed for code optimization and validation. “Agentic development is a powerful shift, but it needs structure to succeed,” said Parker. “With Artemis, we’re building the planning and workflow intelligence that lets AI agents work more like real teammates.” At Docker, Parker led platform modernization and enhanced the developer experience for Docker Hub, steering the company toward developer-first tooling. His role at TurinTech involves overseeing engineering delivery for Artemis’ cloud and on-premises deployments, ensuring seamless integration of AI agents and workflows.
Artemis, powered by TurinTech’s GenAI Intelligence Engine, combines agentic planning, evolutionary algorithms, and real-time validation to produce enterprise-grade code. “We’re building Artemis to help teams get the most out of AI—whether that’s LLMs, agents, or both,” said Mike Basios, CTO at TurinTech. Unlike traditional generative AI tools, Artemis focuses on refining and validating code, addressing inefficiencies and ensuring scalability. Global enterprises, including Intel, Taylor Wessing, Deaglo, and Riskworx, are leveraging Artemis to modernize legacy systems and optimize AI-generated code, with the platform’s limited launch in early 2025 showing strong developer interest.
TurinTech’s momentum is bolstered by $20 million in funding, including a $15 million Series A led by Oxford Capital in 2024, and strategic partnerships with Intel, Boston Limited, and UbiOps. “Demand for Artemis continues to grow since our limited launch earlier this year,” said Leslie Kanthan, CEO of TurinTech. Parker’s recruitment of former Docker colleagues Johnny Stoten and Diogo Ferreira further strengthens the engineering team, positioning TurinTech for global expansion. With Gartner projecting that 75% of enterprise software engineers will use AI code assistants by 2028, Artemis addresses real-world challenges in generative AI, delivering trusted, production-ready results.
Michael Parker’s leadership at TurinTech, combined with the company’s innovative Artemis platform, is set to redefine AI-driven software development. By tackling inefficiencies in generative AI and ensuring validated outcomes, TurinTech empowers enterprises to embrace agentic AI confidently, driving efficiency and scalability in a rapidly evolving tech landscape.
TurinTech builds intelligent systems that evolve and improve code and machine learning models. Its platforms, Artemis for code and evoML for ML pipelines, combine agentic planning, evolutionary algorithms, and real-time validation to deliver measurable, production-ready results. Whether optimizing GenAI output, modernizing legacy code, or tuning ML for performance, TurinTech helps teams move beyond generation to deliver software that’s intelligent by design—trusted, efficient, and built to deliver the results you need with the full power of AI.
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