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Artyom Makarov

@artyommakarov

Applied AI Engineer at Yandex building RAG agents and evaluation workflows that cut monthly support escalations by about 9,900 tickets.

Finland

Message

At Yandex, I work on Applied AI solutions for B2B workflows, from Python prototyping and API integration to RAG-based agents and production adoption. I designed a two-tier evaluation framework that improved an AI agent’s accuracy by 7% and reduced manual support escalations from 65% to 48%.

Previously, at enty, I built an LLM Financial Assistant over transaction data, adopted by 50% of active users, and launched Python-based OCR matching that reduced manual document verification effort by 32%. At DataCrunch, I designed and deployed a Python and RayServe inference pipeline that supported an enterprise client’s 60M+ monthly operations.

Experience

Work history, roles, and key accomplishments

Current

Applied AI Engineer & AI Product Manager

Current

Yandex

Nov 2025 - Present (11 months)

Yandex Go B2B is the business mobility segment of Yandex Go, with approximately 150k MAU in Taxi Go for Business. I work on Applied AI solutions across B2B workflows, combining business problem discovery with hands-on Python prototyping, AI workflow design, API integration, RAG-based agents, evaluation and production adoption.

Key Achievements:
1. Launched an ML-driven predictive scoring (CatBoo

AI Engineer

enty

Jun 2024 - Nov 2025 (1 year 5 months)

Enty is an Estonian B2B fintech startup providing back-office and taxation services to approximately 3,000 monthly active businesses. I worked on Applied AI automation for financial operations, focusing on document verification, Python-based OCR, automated VAT verification and privacy-preserving data processing.

Key Achievements:
1. Reduced manual document verification effort by 32% by launching

Machine Learning Engineer

DataCrunch

Dec 2021 - May 2024 (2 years 5 months)

Verda, formerly DataCrunch, is an AI cloud computing company operating in the Nordic region. I worked on production ML infrastructure, translating enterprise customer requirements into scalable inference systems and combining customer research with hands-on Python engineering.

Key Achievements:
1. Designed and deployed a high-performance Python and RayServe production inference pipeline (StableD

Data Scientist

Yousician

May 2019 - Dec 2021 (2 years 7 months)

Yousician is a music education technology company behind Yousician and GuitarTuna, with GuitarTuna reaching more than 100 million installs worldwide. I worked across product analytics, ML experimentation and data infrastructure, supporting product and commercial decision-making through core metrics, database optimization and machine learning.

Key Achievements:
1. Built and maintained core produ

Education

Degrees, certifications, and relevant coursework

Udacity

Nanodegree program, Computer Vision

2019 - 2020

Computer vision skills in Robotics and Automation fields.
Related projects, completed during the program:

- Facial landmarks detection;
- Image captioning automation;
- Landmark detection and tracking (SLAM).