Alex
Zerntev
I engineer production AI systems and scalable platforms. From published research in robotics to enterprise-grade infrastructure - I architect intelligent systems that solve real problems.
Expertise
AI Engineering
Architecting production AI systems - from intelligent agents and retrieval pipelines to real-time inference at scale. Published researcher in robotics and SLAM at IEEE IROS 2019.
Software Development
Full-stack engineering across the entire stack - from enterprise platforms to developer tooling, APIs, and query language compilers. Shipping reliable software that scales.
Data Infrastructure
The connective layer between raw data and intelligence. Query engines, ETL pipelines, and the foundational infrastructure that powers modern AI applications.
Current Focus
Autonomous AI Agents
Designing agent systems that reason, use tools, and execute multi-step workflows autonomously - bridging the gap between language models and real-world task completion.
The Data-to-AI Pipeline
Making enterprise data directly accessible to AI systems - declarative interfaces, context protocols, and infrastructure that eliminates the friction between raw data and intelligence.
AI-Native Workflows
Rethinking how software gets built when AI is a first-class collaborator - not just code generation, but fundamentally new engineering processes that multiply what a single person can deliver.
“If you always put limit on everything you do, physical or anything else, it will spread into your work and into your life. There are no limits. There are only plateaus, and you must not stay there, you must go beyond them.”
— Bruce Lee