Summary
Anton Levashov is a Solutions Architect with 15+ years of experience designing and delivering cloud-native Data & AI platforms for global enterprises, specialising in Azure and modern lakehouse architectures. He blends deep technical architecture with a product mindset, having shipped proprietary frameworks like DataLink and Poesis to accelerate Data Lakehouse and multi-agent AI deployments. Anton has a track record of rapid proof-to-production delivery—running 14-day pilots that generate measurable business impact—and has reduced operational costs by up to 80% via automation and multi-agent systems. Comfortable as a Technical Design Authority, he translates executive strategy into secure, governed platforms integrating Databricks, Snowflake, Delta Lake and LLM-driven RAG solutions. Based in London, he combines an academic foundation in mathematics and statistics with hands-on engineering across cloud, real-time analytics and AI orchestration, and a history of embedding with clients to deliver pragmatic, production-grade outcomes.
10 years of coding experience
8 years of employment as a software developer
Master 2 (M2) Mathematics and Statistics, Master 2 (M2) Mathematics and Statistics at South Russian State Technical University (Novocherkassk Polytechnic Institute)
Russian, French, English