Mikhail Safronov
@mikhailsafronov
AI student and C++ programmer blending machine learning research with embedded systems expertise.
What I'm looking for
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
Chief Sound Engineer
Radio MPEI
Sep 2020 - Oct 2023 (3 years 1 month)
Led a team of 10–15 engineers managing production quality, studio relocation and acoustic setup, and provided technical sound support for university events, contributing to multiple national awards.
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
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
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.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Social media
Job categories
Skills
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