Konstantin Gizdov
AI Engineering Lead at KGE Consultancy LTD
Sofia, Sofia-City, Bulgaria
Summary
👤
Senior🎓
Top SchoolKonstantin Gizdov is an AI engineering leader and former physicist with 11+ years building resilient, high-performance systems for startups, Fortune 500s and research institutions including CERN. He combines hands-on infrastructure-as-code and SRE practice with ML productization, driving cloud platforms and AI-driven forecasting at scale while founding a consultancy for Big Data and AI solutions. His background includes PhD-level research (developing self-mutating neural networks) and practical open-source contributions to projects like ROOT and Network UPS Tools, showing a rare mix of scientific rigor and pragmatic systems work. Known for leading by example, he focuses on reducing fragility through automation, clear processes, and shared ownership across global teams. Based in Sofia, he repeatedly bridges deep research, cloud engineering and product impact—if it’s fragile he fixes it, and if it’s unclear he documents it.
11 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Elementary Particle Physics, Doctor of Philosophy (Ph.D.), Elementary Particle Physics at The University of EdinburghBachelor’s Degree, Physics, Bachelor’s Degree, Physics at University of AberdeenScience and Mathematics Secondary School "Acad. Ivan Tsenov"
English
Github Skills (22)
c-language10
cmake10
c1110
rootkit10
c1710
root-finding10
ups10
cuda10
cprogramming-language10
cudnn10
machine-learning9
sys9
data-analysis9
management9
embedded9
Programming languages (17)
Github contributions (5)
root-project/root
Nov 2016 - May 2022
The official repository for ROOT: analyzing, storing and visualizing big data, scientifically
Role in this project:
Back-end Developer & System Architect
Back-end Developer & System ArchitectContributions:7 reviews, 24 commits, 12 PRs in 5 years 6 months
Contributions summary:Konstantin primarily focused on improving the robustness and maintainability of the ROOT project's core functionalities. Their contributions involved adapting the TMVA module to support cuDNN 8, which included modifying convolution algorithms, addressing deprecated functions, and optimizing workspace utilization. Additionally, the user made significant improvements to the build process, refactoring the CMake configuration files and improving the integration of CUDA and string_view functionalities. They also fixed several issues related to null dereferences and typos within various project components.
pythonroot-cernmathematicsc-plus-plusscientific-visualization
networkupstools/nut
Aug 2020 - Oct 2020
The Network UPS Tools repository. UPS management protocol Informational RFC 9271 published by IETF at https://www.rfc-editor.org/info/rfc9271 Please star NUT on GitHub, this helps with sponsorships!
Role in this project:Back-end Developer
Back-end DeveloperContributions:3 reviews, 6 commits, 1 PR in 2 months
Contributions summary:Konstantin primarily contributed to the `usbhid-ups.c` driver within the `networkupstools/nut` repository. Their work involved refining the status handling logic, addressing potential issues related to CyberPower UT series UPS devices, and improving code readability. Specific contributions include implementing a quirk for handling online and discharging states, refactoring status setting, and removing redundant lines.
pduserialusbrepository-toolsrfc
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