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Ask about Daniil’s experience, describe a role, or request his CV, project videos and papers. Personal facts are grounded in this portfolio, with sources you can open.

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How can I reach Daniil?

You can reach Daniil by email at daniil.emtsev.ig@gmail.com. He is also on LinkedIn (in/emtsevdaniil), GitHub (daniil-777) and Google Scholar.

What does Daniil do now?

Daniil is a Machine Learning Research Engineer at VirtaMed in Zurich (2022 – now). For more than four years he has been building the intelligence inside surgical simulators: real-time web applications, generative image enhancement and AI proctors that coach while you operate.

Can I get his CV?

You can download Daniil’s public CV as a two-page PDF. It covers his experience, education, technical skills, selected projects, publications and awards, using the information on this portfolio.

Download the CV. For a tailored CV or availability, contact Daniil by email.

Where did Daniil study?

Daniil has a BSc in Computer Science and Electrical Engineering from the Moscow Institute of Physics and Technology (MIPT, 2015 – 2019), where he graduated with distinction with a GPA of 9.0 out of 10. He then took an MSc in Computational Science and Engineering at ETH Zurich (2019 – 2022), with a focus on robotics and a master’s thesis in the Computer Vision Lab graded 5.75 out of 6.

Where has Daniil worked?

The site lists three positions: Machine Learning Research Engineer at VirtaMed in Zurich (2022 – now), and two R&D Software Engineer internships, at the Data Analytics Group in Moscow (summer 2019) and in the Amgen Scholars Program in Zurich (summer 2018). It mentions no other employer.

How were his studies funded?

His master’s at ETH Zurich was supported by the ETH Zurich Master’s Scholarship, which covers full tuition and living expenses. At MIPT he held the Abramov Scholarship for Academic Excellence (2016 – 2019).

What are his hobbies?

Away from the keyboard, Daniil’s interests are biking, hiking, travelling, museums, chess, tennis, swimming and running.

Which languages does Daniil speak?

Daniil speaks English (C1), German (B1) and Russian (native).

Where is Daniil based?

Daniil is based in Zurich, Switzerland.

Does Daniil have a patent?

The site lists one patent filing: the international patent application WO2023186262A1 (2023), a method for determining the 6D pose of a camera from an image and a point cloud of the scene. It is listed as an application; the site does not say that a patent has been granted.

Does Daniil have a PhD?

The site lists an MSc from ETH Zurich as his highest degree; it does not mention a PhD.

Which programming languages does he use?

The site lists these programming languages: Python, TypeScript, C++, C#, C, R, MATLAB and Java.

Not on this site

What about personal details such as age or family?

This site covers Daniil’s work, research and background only. Personal details such as age, nationality, family, home address, health, religion or politics are not part of it.

What is his phone number?

A phone number is not published on this site. Please use email.

Who are his referees?

Referees are not named on this site. Please ask Daniil by email.

What salary does he expect?

Compensation is not discussed on this site. Please raise it with Daniil by email.

How this works

How does this assistant work?

This assistant helps you explore Daniil’s work, discuss a potential role, and find his CV, videos, demos, code and papers. Facts about Daniil come from the public portfolio and link their sources. General explanations and comparisons are distinguished from documented personal facts.

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AI conversation. When connected, the question and up to six earlier AI conversation turns are sent through the site’s Cloudflare Worker to OpenAI. The model receives the public portfolio as reference material. It can explain projects, compare skills with a role, and answer follow-ups. It does not confirm Daniil’s availability or speak on his behalf. Private questions with fixed replies are handled locally. An installation configured for Anthropic uses that provider instead.
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Smarter search. An optional download of a small language model from huggingface.co and of its runtime from cdn.jsdelivr.net. The model then runs on your device, and your questions stay there.

Writing answers with a model on your own device is not available yet.