Oleksandr N.
LLM Engineer / GenAI Engineer
About
Experienced AI Lead Engineer with a solid background in designing and deploying complex AI systems, ranging from high-load Enterprise RAG platforms to autonomous agent orchestration systems. His expertise covers the full development lifecycle—from the architectural design of multi-modal applications to the implementation of observability tools and enterprise security (Llama Guardrails, ELK). Beyond the technical stack, the candidate possesses strong leadership qualities, with experience managing cross-functional teams (10+ members) and successfully building engineering departments from the ground up. He excels at balancing rapid MVP development (launching within 2 months) with building robust, high-load architectures.
Key Expertise
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Technologies
Project Portfolio
High-Load Enterprise Ingestion & Inference Platform
AI Lead Engineer
Led the architecture and development of a scalable, multi-tenant RAG (Retrieval-Augmented Generation) platform designed to ingest and index massive volumes of heterogeneous enterprise data. The system enables automated monitoring of client-defined storage, transforming unstructured data into a queryable knowledge base powered by a variety of Large Language Models.
AI Agents Management & Orchestration Control Plane
AI Engineer
Developed a centralized, production-grade management platform (Control Plane) for the lifecycle management of specialized AI agents. The system provides a unified web interface for defining agent personas, deploying them across diverse environments, and monitoring their performance and token consumption in real-time.
AI-Powered Multi-Modal City Guide
AI Lead Engineer
Architected and launched a mobile-first, multi-modal AI travel companion that generates dynamic, location-aware storytelling. The platform utilizes generative AI to create historical narratives for points of interest, translates content in real-time, and synthesizes high-quality audio guides for a hands-free user experience.
No-Code Knowledge Ingestion & Semantic Search
AI Engineer
Engineered a lightweight, no-code RAG solution to bridge the gap between static cloud storage and interactive AI. The system monitors Google Drive directories, automatically ingesting newly uploaded documents of various formats into a vector database to enable natural language querying.
Ready to Work with Oleksandr N.?
LLM Engineer / GenAI Engineer
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