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Dmitry Matskevich is the CEO and Co-founder of Iterative.ai, the company behind DVC (Data Version Control), CML (Continuous Machine Learning), Studio, and other open-source tools focused on solving MLOps challenges. He is a strong advocate for open-source solutions and applying engineering best practices to machine learning workflows, particularly in areas of reproducibility, versioning, and automation. Before co-founding Iterative.ai in 2018, Dmitry had a distinguished career at Microsoft for over 10 years, where he worked as a Principal Software Engineer on various data-intensive and cloud-based projects, including big data systems and developer tools. His work at Iterative.ai is pivotal in shaping how data scientists and machine learning engineers manage their projects, making ML development more systematic and collaborative.
Dmitry Matskevich's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Co-founded Iterative.ai and played a central role in the creation and popularization of DVC (Data Version Control), an open-source tool that brings Git-like version control to data, machine learning models, and experiments. DVC has become a cornerstone in the MLOps landscape for ensuring reproducibility and traceability in ML projects.
A prominent voice and advocate for open-source software in the Machine Learning Operations space. Under his leadership, Iterative.ai has developed and promoted a suite of tools (DVC, CML, MLEM, Studio) that are widely adopted by the ML community to streamline workflows and improve collaboration.
During his tenure at Microsoft, Dmitry made substantial contributions to large-scale data processing systems and cloud infrastructure, gaining deep expertise in software engineering and distributed systems that later informed his work in MLOps.
Actively engages with the machine learning community through talks, articles, and product development, promoting best practices for MLOps and helping to define standards for efficient and reliable machine learning pipelines.
Y Combinator - Year 2020
New Economic School - Year 2009
Московский Физико-Технический Институт (Государственный Университет) (МФТИ) - Year 2002
Highperformr Signals uncover buying intent and give you clear insights to target the right people at the right time — helping your sales, marketing, and GTM teams close more deals, faster.
Handl Health is a healthcare price transparency company focused on helping employers and their members understand, navigate, and save on healthcare costs by providing shoppable healthcare services. They aim to make healthcare pricing clear and accessible, empowering users to make informed decisions about their medical care and expenses.
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