Kylych Tynybekov
Senior Software Engineer at MFON1
Bishkek City, Kyrgyzstan
Summary
👤
Senior🎓
Top SchoolKylych Tynybekov is a Senior Software Engineer with 10 years of experience building high-performance back-end systems, currently based in Bishkek and focused on scalable cloud-native email infrastructure. He recently designed and deployed a configurable SMTP relay with observability and robust bounce handling, integrating AWS services, Kubernetes, RabbitMQ and SQS for large-scale deliverability. Comfortable in both Go and Java, Kylych has contributed notable backend improvements to projects like the Concourse distributed database and added computer-vision features to the gocv Go package, showing a blend of distributed-systems and CV expertise. He has a strong track record of optimizing I/O and buffering performance, designing microservices and building testing/automation pipelines, and often leads backend teams through architecture, mentoring and production incident resolution. An NJIT computer science graduate, he pairs practical operational instincts with open-source contributions that reveal a focus on efficient data handling not obvious from job titles alone.
10 years of coding experience
11 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at New Jersey Institute of Technology
Stackoverflow
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Github Skills (19)
opencv10
databases10
c1110
analytics10
java10
c1710
javas10
go10
computer-vision10
backend10
database10
image-processing9
nosql9
cgo9
cross-platform8
Programming languages (3)
Github contributions (5)
cinchapi/concourse
Aug 2016 - Oct 2016
Role in this project:
Back-end Developer
Back-end DeveloperContributions:54 commits, 8 PRs, 2 comments in 2 months
Contributions summary:Kylych primarily focused on enhancing the backend functionality of the Concourse distributed database. Their contributions included adding environment setters and other infrastructural improvements to the Buffer and Engine components, which involved modifying Java code. Furthermore, the user introduced an asynchronous queue (BINARY_QUEUE) to handle buffer writes, which improved the performance of the database, and added a new constructor for Packet to accept list of WriteEvents. These changes suggest a focus on optimizing data handling within the system.
analyticswarehousenosqlmysqlsql
hybridgroup/gocv
Apr 2018 - Jun 2018
Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, OpenCV Contrib, and OpenVINO.
Role in this project:Back-end Developer & Computer Vision Engineer
Back-end Developer & Computer Vision EngineerContributions:7 commits, 2 PRs, 9 comments in 2 months
Contributions summary:Kylych primarily contributed to the `gocv` Go package, which provides computer vision functionality using OpenCV. Their work focused on adding new features such as image rotation and concatenation, as well as fisheye camera model calibration and undistortion capabilities. These changes involved modifying core functionalities, including implementing new C-bindings and updating corresponding test cases. They also updated the CGO configuration to properly link the OpenCV libraries.
face-trackingvideotensorflowcomputervisiondnn
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