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Mikhail SafronovMS
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Mikhail Safronov

@mikhailsafronov

AI student and C++ programmer blending machine learning research with embedded systems expertise.

Germany
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What I'm looking for

I seek roles combining ML research and embedded systems, where I can build TinyML/CV solutions, collaborate on responsible AI, and grow technically within a supportive, innovative team.

I am an AI student and engineer with hands-on experience in probabilistic modeling, C++ development for aerospace, and embedded machine learning on devices like ESP32. I bridge hardware and software, applying statistical methods to real-world problems and refining complex systems under uncertainty.

My background includes leading a team of 10–15 as Chief Sound Engineer, managing studio relocations, technical operations, and award-winning productions, alongside research-oriented software development at an aerospace organization (TsNIIMASH). I am experienced in translating requirements into technical solutions and working with proprietary systems and private libraries.

I bring strong leadership, self-organization, and a drive to take projects from concept to completion, with interests spanning TinyML, computer vision, and responsible AI practices.

Experience

Work history, roles, and key accomplishments

TS

C++ Programmer

TsNIIMASH

May 2022 - Sep 2023 (1 year 4 months)

Implemented Bayesian updating and probabilistic models for satellite trajectory estimation, improving state refinement under uncertainty while conducting research-oriented development in a secured technical environment.

Education

Degrees, certifications, and relevant coursework

Deggendorf Institute of Technology logoDT

Deggendorf Institute of Technology

Bachelor of Science, Artificial Intelligence

2023 -

Activities and societies: University projects: TinyML on ESP32, skin lesion segmentation masks, animal classification with limited datasets.

Studying Artificial Intelligence with focus on building and evaluating systems for real-world environments and working on collaborative AI projects including TinyML, segmentation masks, and animal classification.

Moscow Power Engineering Institute logoMI

Moscow Power Engineering Institute

Bachelor of Engineering, Radio Engineering

2020 - 2023

Activities and societies: Chief Sound Engineer / leader in Radio MPEI: led 10–15 engineers, managed studio relocation and technical support for university events.

Studied Radio Engineering with emphasis on hardware, signals, and physical systems while holding leadership roles in the Radio MPEI student organization before relocating to Germany.

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Mikhail Safronov - Chief Sound Engineer - Radio MPEI | Himalayas