Dmitriy Geels
Senior Software Engineer at Makersite
Berlin, Germany
Summary
👤
Senior🎓
Top SchoolDmitriy Geels is a Senior Software Engineer based in Berlin with 11 years of experience building backend and full-stack systems, currently focused on cloud-native reliability, DevOps, and GIS-related problems. He primarily works in Python and Go across databases like PostgreSQL and BigQuery, and operates production systems on GCP with Kubernetes, Terraform, and CI/CD tooling. Dmitriy is an open source enthusiast: he’s improved logging internals of the Hypercorn ASGI server and sped up facial-auth performance in the Howdy project by replacing libraries and adding CNN-based detection. His background ranges from low-level Linux fixes and Asterisk PBX systems to maintaining abandoned Python projects and shipping async microservices. Colleagues know him as a pragmatic engineer who migrates legacy tools forward and squeezes performance while keeping systems observable and reliable.
11 years of coding experience
15 years of employment as a software developer
Engineer's degree Computer and Information Sciences and Support Services, Engineer's degree Computer and Information Sciences and Support Services at Bauman Moscow State Technical University
Russian, English
Stackoverflow
1reputation
0reached
2answers
0questions
Github Skills (27)
python10
configuration-management10
logger10
mask-rcnn10
asgi10
logfile10
face-recognition10
computer-vision10
dlib10
logging10
faster-rcnn10
opencv9
camera9
data-structures8
data-structure8
Programming languages (16)
Github contributions (5)
boltgolt/howdy
Nov 2018 - Dec 2018
🛡️ Windows Hello™ style facial authentication for Linux
Role in this project:
Back-end Developer & Machine Learning Engineer
Back-end Developer & Machine Learning EngineerContributions:37 commits, 2 PRs, 40 comments in 1 month
Contributions summary:Dmitriy primarily contributed to the project by refactoring and optimizing existing code, particularly related to configuration management. They replaced the face_recognition library with dlib and implemented CNN-based face detection, improving performance. Furthermore, the user made modifications to enhance face recognition accuracy and speed and added improvements to frame processing for dark frames.
pamcameraface-recognitionmanjaroir-camera
pgjones/hypercorn
Jul 2020 - Jul 2020
Hypercorn is an ASGI and WSGI Server based on Hyper libraries and inspired by Gunicorn.
Role in this project:Back-end Developer
Back-end DeveloperContributions:15 commits in 1 day
Contributions summary:Dmitriy's contributions primarily centered on refactoring and improving the logging configuration within the Hypercorn ASGI and WSGI server. They removed deprecated configurations, streamlined logging setup, and added features like customizable log levels. These changes touched upon multiple aspects of the logging configuration, including default settings, handler definitions, and access log atoms, leading to cleaner and more flexible logging options. The modifications aimed at improving the server's internal logging mechanism to provide better debugging and monitoring capabilities.
asgipythonwsgi-serverasynciohttp3
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