Summary
Veaceslav Kunitki is a Machine Learning Engineer with 10 years of experience building data-driven systems and ML products across fintech, automotive, and consumer apps from Chișinău, Moldova. He has led architecture and engineering teams as a former CTO and more recently delivered production recommendation and analytics pipelines at Wallcraft, Renault, and GridDynamics, working with BigQuery, Looker, Python/Java, and high-throughput ETL stacks. His background spans blockchain analytics, trading platforms, and crypto-focused ML tools, reflecting deep experience in fraud detection, token sentiment systems, and KYC flows. Notably, he has built self-service analytics on petabyte-scale datasets and designed ML-driven recommendation systems for both e-commerce and digital wallet use cases. Practical, hands-on, and product-minded, he combines systems architecture skills with applied data engineering to move models from research into scalable production.
10 years of coding experience
26 years of employment as a software developer
Mini-MBA in loyalty Manager of loyalty programs, Mini-MBA in loyalty Manager of loyalty programs at IdeasFirst
M101J MongoDB for Java Developers, M101J MongoDB for Java Developers at MongoDB University
School No 37
Masters degree Computer Science, Masters degree Computer Science at Moldova State University
Moldova Technical University
Python programmer, Python programmer at Python 3 Course
English, Russian, toki pona