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Sergey Kolesnikov Email & Phone Number

Head of Applied Research at Shadow Startup
Location: Singapore 14 work roles 2 schools
1 work email found @dbrain.io LinkedIn matched
✓ Verified August 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email k****@dbrain.io
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Current company
Role
Head of Applied Research
Location
Singapore
Company size

Who is Sergey Kolesnikov? Overview

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Quick answer

Sergey Kolesnikov is listed as Head of Applied Research at Shadow Startup, a with 4 employees, based in Singapore. AeroLeads shows a work email signal at dbrain.io and a matched LinkedIn profile for Sergey Kolesnikov.

Sergey Kolesnikov previously worked as Head of Applied Research at Stealth Startup and Head of AI Research at Tinkoff. Sergey Kolesnikov holds Master'S Degree, Mathematics And Computer Science from Moscow Institute Of Physics And Technology (State University) (Mipt).

Company email context

Email format at Shadow Startup

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{last}@dbrain.io
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AeroLeads found 1 current-domain work email signal for Sergey Kolesnikov. Compare company email patterns before reaching out.

Profile bio

About Sergey Kolesnikov

Sergey Kolesnikov is a Head of Applied Research at Shadow Startup. He possess expertise in deep learning, python, machine learning, data analysis, natural language processing and 15 more skills. Colleagues describe him as "I was lucky enough to work under Sergey's supervision for almost a year. Sergey proved to be a great leader, ready to solve business tasks with deep understanding. In addition to good product skills, Sergey has strong experience in developing DL and RL algorithms. His experience in CV and NLP has often helped me when I needed advice. I recommend Sergey as a strong specialist and an excellent team leader!"

Listed skills include Deep Learning, Python, Machine Learning, Data Analysis, and 16 others.

Current workplace

Sergey Kolesnikov's current company

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Shadow Startup
Shadow Startup
Head of Applied Research
Singapore
Employees
4
AeroLeads page
14 roles

Sergey Kolesnikov work experience

A career timeline built from the work history available for this profile.

Head Of Applied Research

Stealth Startup

Head Of Ai Research

Moscow, Russia

Research @Tinkoff

Jan 2021 - Aug 2024

R&D Lead

Moscow, Russian Federation

CV, NLP, RecSys & RL @ Tinkoff

Dec 2019 - Dec 2021

Project Lead Developer

- Open source project development.- Framework creation for reproducible experiments in a DL/RL.- Production-ready DL/RL pipelines organisation.- Ecosystem development and maintenance.

Mar 2018 - Apr 2022

Deep Learning Research Scientist

Neural Nets And Deep Learning Lab (Mipt)

Moscow, Russian Federation

- Understanding latest research trends and implementing published results.- Differentiable memory research.Research areas- Information Retrieval- NLP, NLU- RL (goal-oriented dialogue systems)

Jul 2018 - Jun 2021

Researcher

Moscow, Russian Federation

RL @ Yandex.Research

Dec 2019 - Mar 2020

Senior Research Engineer

Rllab

Moscow, Russian Federation

Sep 2019 - Dec 2019

Lead Data Scientist, Teamlead

Moscow, Russian Federation

- Business requests analysis.- Product hypothesis formulation.- Technical specifications formation.- Data Science department mentoring.- ML/DL solutions pipeline organisation.- Bringing product ideas to MVP stage.- Production projects support.Research areas- Information Retrieval– NLP (unsupervised learning, topic modeling)- CV (image classification, object detection/segmentation, video analysis)- RL (resource management, optimal control)

Dec 2018 - Sep 2019

Senior Data Scientist

Moscow, Russian Federation

Mar 2018 - Dec 2018

Teaching Assistant

Higher School Of Economics

Moscow, Russian Federation

Teaching assistant at Reinforcement Learning course

Dec 2017 - Nov 2018

Lecturer / Practical Lecturer

Moscow Institute Of Physics And Technology (State University) - Mipt, Phystech

Moscow, Russian Federation

Practical Lecturer at machine learning course

Feb 2018 - Jul 2018

Research Engineer

Moscow, Russian Federation

- Turning company goals to research problems.- Planning experiments and interpreting their results.- Studying the literature and implementing published results.- Presenting results of research and bringing them to the production stage.Research areas- Information Retrieval- NLP (question answering, neural machine translation)- Sound Processing (speaker identification, speech recognition)

Sep 2016 - Mar 2018

Laboratory Assistant

Moscow Institute Of Physics And Technology (State University) - Mipt, Phystech

Moscow, Russian Federation

C++/C# software developer. - Development of a flight simulator, its visualisation and navigation systems. - Worked on the turbulence problems and their visualization. - Wrote cross-platform navigation software. - Developed algorithms on graphs.

Jun 2014 - Jun 2016
2 education records

Sergey Kolesnikov education

FAQ

Frequently asked questions about Sergey Kolesnikov

Quick answers generated from the profile data available on this page.

What company does Sergey Kolesnikov work for?

Sergey Kolesnikov works for Shadow Startup.

What is Sergey Kolesnikov's role at Shadow Startup?

Sergey Kolesnikov is listed as Head of Applied Research at Shadow Startup.

What is Sergey Kolesnikov's email address?

AeroLeads has found 1 work email signal at @dbrain.io for Sergey Kolesnikov at Shadow Startup.

Where is Sergey Kolesnikov based?

Sergey Kolesnikov is based in Singapore while working with Shadow Startup.

What companies has Sergey Kolesnikov worked for?

Sergey Kolesnikov has worked for Shadow Startup, Stealth Startup, Tinkoff, Tinkoff Bank, and Catalyst-Team.

How can I contact Sergey Kolesnikov?

You can use AeroLeads to view verified contact signals for Sergey Kolesnikov at Shadow Startup, including work email, phone, and LinkedIn data when available.

What schools did Sergey Kolesnikov attend?

Sergey Kolesnikov holds Master'S Degree, Mathematics And Computer Science from Moscow Institute Of Physics And Technology (State University) (Mipt).

What skills is Sergey Kolesnikov known for?

Sergey Kolesnikov is listed with skills including Deep Learning, Python, Machine Learning, Data Analysis, Natural Language Processing, Reinforcement Learning, Git, and C++.

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