About Us

Our team has built software with AI for decades, from biological research to conversational interfaces. We've experienced firsthand how challenging it is to apply AI effectively in real-world development. Maestro is our solution to this problem, combining frontier AI capabilities with practical development tools. We focus on empowering developers to build robust, production-ready software while maintaining full control over their development process.

Our Team

Sean Ward

Co-Founder and CEO

Sean brings over 20 years of experience in startups and machine learning. He founded Relatable (internet-scale music ID and recommendation), was a UCL Research Associate in Bioinformatics and protein structure prediction, and founded Synthace (synthetic biology/biological experiment automation and ML) and Scale DX (robot-driven ultra-high throughput saliva-based COVID diagnostics).

Martin Szummer

Co-Founder and CTO

Martin has over 20 years of experience in ML research and startups. He holds a PhD from MIT AI Lab and was a researcher at Microsoft Research, focusing on early language model research. Martin co-founded VocalIQ, developing self-learning conversational voice UI. He also served as a Staff Research Scientist at DeepMind, contributing to cutting-edge AI advancements.

Sam Shapley

Member of Technical Staff

Sam holds a First Class MSci in Theoretical Physics from Imperial College London, completing his thesis on simulation of high-energy particle physics with GANs. During this research, he began using early foundation models extensively to help ideate and automate development. Sam has previously worked in data, and researching LLMs and agentic systems for Weights and Biases.

Andrei Alexandru

Member of Technical Staff

Andrei focuses on the fundamental challenge of evaluating and understanding autonomous coding agents. He has a mixed background in machine learning research and software engineering, with recent work on OpenAI's dangerous capability evaluations team and developing cutting-edge LLM-as-a-judge systems at Atla. He applies this expertise to ensure autonomous coding systems can reliably tackle complex engineering challenges.

David Contreras Magaña

Member of Technical Staff

David is a UX and AI Designer with over 20 years of experience, including 8 years at Amazon, where he defined conversation standards, design guidelines, and new features for Alexa. He holds a Degree in Software Engineering and has a strong track record in Design Leadership. At iGent AI, David focuses on agentic coding assistants and AI Design.

Chris Chabot

Head of Developer Relations

Chris Chabot is the Founding Head of Developer Relations at iGent. During his career Chris has built and led both product and developer teams, as Head of International Developer Relations at Twitter and a number of developer-focused leadership roles at Google.