Open to opportunities

Artur Artikov

@arturartikov

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Machine Learning Engineer and Lead ML Engineer specializing in NLP, LLM systems, and MLOps.

Russian Federation

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What I'm looking for

I’m looking for a production-focused ML role where I can build and lead end-to-end systems for NLP/LLMs and recommenders. I value strong engineering practices, measurable business impact, and teams that care about latency, quality, and maintainability.

I’m a Machine Learning Engineer with 5+ years of experience designing and deploying machine learning solutions in production. I specialize in NLP, LLM systems, recommender systems, and Computer Vision, with a focus on measurable impact, reliability, and clear engineering processes.

I’ve led teams and shipped production services for Russia’s largest city (Moscow DIT), Russia’s largest residential developer (PIK), and education & consulting businesses. I built an ML team from scratch (8 people), delivered projects with a combined financial impact of over 245M RUB, and consistently optimize for latency, quality, and operational readiness—from MLflow/DVC tracking and Airflow pipelines to Docker/Kubernetes deployment.

Experience

Work history, roles, and key accomplishments

Lead Machine Learning Engineer

Softintermob

Oct 2023 - Aug 2025 (1 year 10 months)

Built and led an on-premise LLM and NLP processing platform for Moscow DIT, delivering 245M RUB total financial impact and cutting infrastructure cost (CPU -80%, GPU -67%). Implemented production LLM quality assessment and resume analysis services with async pipelines and load-tested performance up to 300 RPS.

Python LLM Engineering (Qwen VLLM fastAPI Celery Redis Clickhouse Docker Kubernetes Load Testing

Data Analyst (Intern)

Foxford

Jul 2021 - Feb 2022 (7 months)

Analyzed conversion funnels and user retention to identify key drop-off points, and built segmentation models to group learners by activity and progress. Created automated dashboards and reporting that replaced 3 manual reports, saving ~8 person-hours per week.