CTO · Yandex Robotics · Moscow

Dmitry Anisimov

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At Yandex
// About

From Logistics to Embodied AI

Dmitry Anisimov
Dmitry Anisimov
Open to connect

CTO specializing in robotics, autonomous systems, and real-world AI deployment. Started in logistics, working directly with operations at scale — then transitioned into software engineering to build large-scale systems that solve those problems programmatically. Currently leading Yandex Robotics, building end-to-end automation — from hardware and control systems to ML/VLA models and platform infrastructure. Currently focused on humanoid robotics and VLA (Vision-Language-Action), bringing embodied AI into real-world warehouse environments.

Humanoid Robotics VLA / Embodied AI Autonomous Systems ML Systems Platform Infrastructure Engineering Leadership R&D → Production Warehouse Automation
// Experience

Career Timeline

CTO, Yandex Robotics
Yandex
Aug 2025 — Present
  • Leading robotics and autonomous systems direction — 100+ engineers (direct + org)
  • Full budget responsibility for multi-billion robotics programme
  • Systems deployed and operating across 10+ large-scale warehouse sites
  • Defined product and technical strategy for the direction
  • Driving transition from R&D into production-grade autonomous systems
Department Lead — Head of Engineering
Yandex · Logistics Automation
Apr 2021 — Aug 2025
  • Built Yandex RMS (Robotics Management System) from 0→1 — platform orchestrating robots, humans, and logistics
  • Achieved >10x revenue growth of the robotics direction
  • Built and scaled engineering team of 40+
  • Designed real-time orchestration systems for robots and workforce (RTS-inspired architecture)
  • Led development of warehouse automation: WMS, conveyor control, ML optimization
  • Launched and scaled real-world robotic deployments at production sites
Team Lead, Java
Yandex
Jul 2020 — Apr 2021
  • Led engineering team on logistics platform
  • Delivered multiple ML-driven optimization solutions
Team Lead, Java
Lamoda Group
Sep 2019 — Jul 2020
  • Led development of a large-scale Warehouse Management System (WMS)
  • Managed team of 5 engineers; designed and delivered core system architecture
  • Improved CI/CD and release processes, reducing delivery time
  • Key contributor to scaling logistics platform across warehouse operations
Java Developer
Lamoda Group
Aug 2017 — Sep 2019
  • Developed and scaled WMS components in a distributed environment
  • Contributed to system architecture and performance optimization
Process Engineer
Lamoda Group
Feb 2016 — Aug 2017
  • Led process optimization across logistics operations; focused on efficiency and cost reduction
  • Analyzed large-scale operational data with SQL; built decision-support models
  • Designed process improvements that later informed automation and system design
// Education

Academic Background

Master's Degree
Higher School of Economics
2016 – 2018
Bachelor's Degree
Higher School of Economics
2012 – 2016
// Press

In the Press

Forbes Brandvoice
What robots can do: how AI capabilities are changing business processes
Yandex Robotics robots speed up warehouse operations 2-3x. VLA technology will enable robots to understand voice commands and become truly universal — transforming the economics of entire industries.
Read on Forbes →
Forbes Brandvoice
No extra steps: how robotics and goods-to-person approach are changing warehouses
Shifting from person-to-goods to Goods-to-Person yields 30-40% efficiency gains. Yandex RMS coordinates the robot fleet, reducing staff workload and enabling scale without expanding floor space.
Read on Forbes →
Forbes Brandvoice
Robotics by design: why businesses need digital warehouse simulation
Digital twins allow testing robotization without halting real processes. Simulation modeling helps select the optimal robot fleet and confirm ROI before implementation begins.
Read on Forbes →
Forbes Brandvoice
Robot as a service: how to improve warehouse inventory speed and accuracy
An autonomous inventory robot on the RaaS model reduces aisle scan time from 8 hours to 4 minutes, raising accuracy from 89% to 96% — without capital expenditure or lengthy rollouts.
Read on Forbes →
Yandex Dec 2025
Yandex develops standards for enterprise robot deployment
Yandex Robotics created Russia's first unified information model standards for industrial robot interoperability — jointly with the Ministry of Industry and Trade, as part of a national production automation initiative.
Read on Yandex →
Yandex Aug 2025
Yandex Robotics and Yandex Lavka launch first robotized dark store
12 autonomous mobile robots managed by Yandex RMS accelerated order picking by over 30%. Five more automated dark stores are planned for launch by mid-2026.
Read on Yandex →
Yandex Mar 2024
Yandex Market unveils RoboArm — a warehouse robot with a built-in neural network
The self-learning robot works with unfamiliar items without retraining and doubled pallet assembly speed at the Sofyino-2 SuperWarehouse. Upcoming: item sorting and packaging.
Read on Yandex →
Yandex Aug 2022
Yandex builds robots for warehouses and dark stores
Two newly developed robots: an inventory robot for Market logistics centers with a 12-meter mast, and a compact storage robot for Lavka — both powered by Yandex's own software.
Read on Yandex →
КиноПоиск Documentary
TV / Documentary appearance
Featured as an expert in a documentary series on KinoPoisk — speaking on robotics, AI-driven automation, and the future of warehouse technology in Russia.
Watch on KinoPoisk →
Instagram Reel
Yandex Robotics — warehouse automation in action
A behind-the-scenes look at autonomous robots operating at scale inside a live warehouse environment — the result of years of engineering and real-world deployment.
Watch on Instagram →
// Contact

Get in Touch

d0anisimov@yandex.ru LinkedIn @doanisimov d0anisimov.ru