Andrei Shitov
Engineering Manager at Turing
Yerevan, Armenia
Summary
🤩
Rockstar🎓
Top SchoolAndrei Shitov is an engineering manager with 11 years of experience leading teams and shipping low-level systems software, currently based in Yerevan and working at Turing. He has deep expertise in JavaScript VMs, GPU compiler frontends/backends, and OS-level development from roles at Samsung R&D and Open Mobile Platform, complemented by research work in Python for data science. Andrei contributes to resource-constrained projects like the jerryscript ultra-lightweight JS engine, where he optimized parser memory and simplified internals—evidence of a focus on pragmatic performance and maintainability. His background blends rigorous academic training as an ABD PhD candidate in computer software engineering with hands-on experience in AI, robotics, simulation, and BSP/driver development. Comfortable moving between research and production, he often reduces complexity through careful refactoring and low-level optimizations.
11 years of coding experience
12 years of employment as a software developer
Computer Science, Computer Science at OTUS Онлайн-образованиеNanodegree, AI for Trading, Nanodegree, AI for Trading at UdacitySpecialist degree, Computer Systems Networking and Telecommunications, Specialist degree, Computer Systems Networking and Telecommunications at Moscow Aviation Institute (National Research University)Lomonosov Moscow State University
English
Github Skills (11)
memory-management10
parser10
javascript-engine10
parse10
cprogramming-language9
c-language9
script9
jscript9
j9
javascript8
runtimes8
Programming languages (5)
Github contributions (5)
jerryscript-project/jerryscript
Mar 2015 - Nov 2015
Ultra-lightweight JavaScript engine for the Internet of Things.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:58 commits, 41 PRs, 94 pushes in 7 months
Contributions summary:Andrei primarily focused on optimizing the JavaScript engine's memory management and parser. Their work included fixing memory statistics flags and optimizing parser memory consumption by removing unnecessary fields from linked list structures and structures used in the parser. They also refactored the parser by removing the deserializer notion, indicating a focus on code optimization and reducing complexity.
internet-of-thingsjavascript-enginejavascriptjerryscriptiot
sand1k/blog
Dec 2017 - Jul 2022
Contributions:48 pushes, 1 branch in 4 years 8 months
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