Anton Yemelyanov: Design and implementation of AI systems from architecture to scaling

An AI architect with 10+ years of experience in creating end-to-end solutions, ML models and RAG systems for business process automation


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About the expert:

Anton Yemelyanov is a foreign partner and architect at NYOKA, who has been working in the field of AI systems development and architecture for more than 10 years. He led the creation of end-to-end solutions that automate business processes, implemented scalable RAG systems, custom LLM and production-ready ML models. He has extensive experience in developing high-load backend architectures with AI modules. Among his achievements are a 40% reduction in data processing time, an increase in support service efficiency using generative models, and successful integration of AI into large infrastructures.


His work allowed:

– Automate key business processes based on custom ML/AI solutions

– Reduce data processing and customer response time by up to 40%

– Implement scalable RAG systems and custom LLMs

– Increase support service efficiency through generative models

– Ensure sustainable AI integration into existing architectures


What will you get at the consultation:

– A detailed analysis of your task and a recommendation of the AI solution architecture

– Tips on choosing technologies based on scale and budget

– Analysis of typical errors and risks during AI integration

– Individual implementation plan from MVP to production


How is the consultation going?: Format: Online via Google Meet

Duration: 45–60 minutes


Additional steps: After completing the consultation, our manager will contact you to clarify the details and send you a questionnaire for preparation. This will allow you to make the most of your session time and focus on key issues.