I'm Sergey, an AI/LLM Engineer with 6 years of experience designing and deploying AI-powered automation for business processes. I built an in-house framework for API integrations that cut the time to production from 2–3 weeks to 2–3 days, and designed RAG systems atop vector databases to optimize LLM usage and token efficiency. My work currently supports 200+ customers across hotel booking and CRM workflows. Earlier at Veelzy and EORA I built scalable NLP bots, voice assistants, and MLOps pipelines, and I led backend development for geodata services with PostGIS, Redis caching, and CI/CD. I love turning complex data challenges into reliable, scalable software solutions and continuously improving AI tooling and prompt engineering.

Sergey Makovsky

I'm Sergey, an AI/LLM Engineer with 6 years of experience designing and deploying AI-powered automation for business processes. I built an in-house framework for API integrations that cut the time to production from 2–3 weeks to 2–3 days, and designed RAG systems atop vector databases to optimize LLM usage and token efficiency. My work currently supports 200+ customers across hotel booking and CRM workflows. Earlier at Veelzy and EORA I built scalable NLP bots, voice assistants, and MLOps pipelines, and I led backend development for geodata services with PostGIS, Redis caching, and CI/CD. I love turning complex data challenges into reliable, scalable software solutions and continuously improving AI tooling and prompt engineering.

Available to hire

I’m Sergey, an AI/LLM Engineer with 6 years of experience designing and deploying AI-powered automation for business processes. I built an in-house framework for API integrations that cut the time to production from 2–3 weeks to 2–3 days, and designed RAG systems atop vector databases to optimize LLM usage and token efficiency. My work currently supports 200+ customers across hotel booking and CRM workflows.

Earlier at Veelzy and EORA I built scalable NLP bots, voice assistants, and MLOps pipelines, and I led backend development for geodata services with PostGIS, Redis caching, and CI/CD. I love turning complex data challenges into reliable, scalable software solutions and continuously improving AI tooling and prompt engineering.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
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Language

Russian
Fluent
English
Fluent
French
Advanced
Spanish; Castilian
Beginner

Work Experience

AI Engineer at Overteam
February 1, 2024 - Present
Designed an AI system of agents to automate business processes (200+ users across hotel booking and CRM workflows via Bitrix24, RetailCRM, Yclients). Built an in-house framework for automating integrations with external APIs, reducing time-to-production for a new integration from 2–3 weeks to 2–3 days. Designed RAG systems on vector databases (Qdrant, Faiss) and optimized work with LLMs (OpenAI, Qwen, YandexGPT, DeepSeek) to reduce token consumption, enable response caching, and implement prompt compression. Developed tooling for prompt engineering and orchestration of LLM calls (function calling, structured outputs, agent chains).
Python Developer at Veelzy
February 1, 2022 - February 1, 2024
Backend for a mobile app for cycling routes: migrated routing to a self-hosted tool (Valhalla) reducing per-user costs by 25–30%. Optimized REST API performance with Redis caching and asynchronous Celery tasks. Built a system for storing and analyzing geodata (PostGIS, heatmap visualization). Maintained code quality with 85% test coverage, CI/CD pipelines, and Docker containerization.
NLP / Conversational AI Engineer at EORA
October 1, 2020 - February 1, 2022
Developed text and voice B2B bots for Telegram, WhatsApp, and SberSalut with custom NLU modules (50+ intents; up to 20 requests/sec). Deployed a voice assistant for a call center with Asterisk integration (up to 60% inbound calls handled without an operator). Created an AI financial-analytics service with automatic report generation and Q&A based on user data. Built MLOps infrastructure with Docker images and GitLab CI pipelines for automated deployment.

Education

at National Research Nuclear University MEPhI, Moscow
January 11, 2030 - January 1, 2017

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Professional Services