---
title: "Maxim Shmakov — AI product engineer"
description: "Maxim Shmakov builds AI products end to end: CTO at a stealth startup, Neocom.ai; before that DVC Studio at Iterative.ai and high-load Yandex.Market. Munich."
url: "https://mvshmakov.dev/"
---

# Maxim Shmakov

AI product engineer in Munich, Germany.

I build AI products end to end. CTO at a stealth startup and senior engineer on AI guided selling at Neocom.ai. Before that: four years on DVC Studio, Iterative.ai’s MLOps platform, and two years at Yandex on Yandex.Market, a high-load e-commerce marketplace.

Topics: AI guided selling, ML experiment tracking, Model registry, Live training metrics, 0→1 AI products.

- Email: <mvshmakovmv@gmail.com>
- CV: <https://mvshmakov.dev/cv/> (Markdown: <https://mvshmakov.dev/cv.md>, PDF: <https://mvshmakov.dev/cv.pdf>)

## Experience

### Chief Technology Officer, Stealth startup

Aug 2026 – now. From zero to a shipped product: architecture, full-stack and DevOps, customer work and fundraising.

### Senior Software Engineer, [Neocom.ai](https://neocom.ai)

May 2024 – now. AI guided selling: several products that bring personal shopping advice to e-commerce.

### Senior Software Engineer, Iterative.ai

Jun 2020 – Apr 2024. DVC Studio, the MLOps SaaS: model registry, and DRI for live ML metrics tracking from CLI to SaaS.

### Software Engineer, Yandex.Market

Jul 2018 – Jun 2020. High-load e-commerce at Yandex: features that won their A/B tests; a legacy stack moved to React.

### Software Engineer, Netcracker

Oct 2017 – Apr 2018. One way to build internal UIs: an Angular library bridged to the legacy Ext JS, 100% unit-tested, documented, with services migrated onto it.

## Education

- M.Sc. Software Engineering — LUT University & HSE, double degree, 2021
- B.Sc. Information Technology — HSE, 2019

## Writing

### [Real-time visualization of Computer Vision model training with DVC and Iterative Studio](https://mvshmakov.dev/writing/dvclive-metrics-studio/)

2023, first published on the DVC blog. Tracking live metrics of a ResNet-18 training run, from the CLI to a SaaS dashboard.

## Verify

OpenPGP fingerprint: `E2FC 87E5 C7D5 9B57 ED87 3FDD 88C3 71E6 6837 B278`. The public key is at <https://mvshmakov.dev/pgp.asc> and on [keys.openpgp.org](https://keys.openpgp.org/search?q=E2FC87E5C7D59B57ED873FDD88C371E66837B278).

Profiles:

- [GitHub](https://github.com/mvshmakov)
- [LinkedIn](https://www.linkedin.com/in/mvshmakov)
- [GitLab](https://gitlab.com/mvshmakov)
- [Facebook](https://www.facebook.com/mvshmakovmv)