Company
The team building LeanGoogs AI.
We are a founding team of ML engineers, researchers, enterprise veterans, and builders united by one goal: making AI infrastructure that actually works in production, at global scale.
Founder & CEO
Ryan K.
Former ML engineer and enterprise software veteran, Ryan founded LeanGoogs AI with a clear thesis: the world needed an AI infrastructure company that could build both the data layer and the deployed product layer. He is focused on making production-grade AI accessible to enterprises and governments globally, particularly in underserved markets.
LinkedIn coming soonChief AI Officer
Dr. Sarah Chen
Sarah holds a PhD in Machine Learning from Stanford and spent over a decade leading AI research at a major technology company, where she built large-scale NLP and computer vision systems. She now oversees all model development, research direction, and AI quality standards across the LeanGoogs AI platform.
LinkedIn coming soonChief Technology Officer
James Okoye
James was previously an engineering lead at a top-tier cloud infrastructure company, where he architected distributed systems serving hundreds of millions of requests per day. At LeanGoogs AI, he leads engineering, platform infrastructure, and MLOps, ensuring our systems are reliable, scalable, and production-ready.
LinkedIn coming soonVP of Enterprise Sales
Amara Diallo
With 12 years in B2B enterprise sales at Salesforce and Oracle, Amara has closed hundreds of millions in enterprise contracts across financial services, government, and technology sectors. She leads our global go-to-market strategy and enterprise client relationships.
LinkedIn coming soonHead of Research
Dr. Priya Sharma
Priya completed her PhD in AI Safety at Cambridge and is a published researcher in LLM evaluation, red-teaming, and alignment techniques. She leads LeanGoogs AI's research programme, ensuring our models and products are rigorously evaluated, responsibly deployed, and contribute meaningfully to the wider field.
LinkedIn coming soonJoin the team.
We are hiring across engineering, research, and go-to-market. If you want to build AI infrastructure that matters, we want to hear from you.