Andrew Kirillov
Software Engineer at IBM
Southampton, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolAndrew Kirillov is a versatile software engineer with 12+ years of hands-on experience building embedded, desktop and client-server systems across industries from POS to telecoms, now developing core functionality for IBM MQ Appliance. He combines deep C/C++ and C# expertise with software architecture, team leadership and project management, having led R&D teams and shipped complex embedded platforms and metrology solutions. His background spans low-level systems (FFmpeg/directshow tweaks in the open-source AForge.NET project) to high-level algorithmic work in control and metrology, reflecting a strong interest in algorithms, math and research-driven development. Comfortable across the full stack of product development, he also designs automated test infrastructure and integrates middleware in large-scale devices. Based in Southampton, he brings a pragmatic blend of engineering discipline and curiosity-driven R&D that regularly turns niche technical challenges into production features.
12 years of coding experience
15 years of employment as a software developer
Bachelor, Computer Science, Bachelor, Computer Science at Transport and Telecommunication Institute
English, Russian
Github Skills (6)
video-processing10
directshow10
csharp10
ffmpeg10
dotnet-core10
computer-vision9
Programming languages (3)
Github contributions (5)
andrewkirillov/AForge.NET
May 2015 - Jun 2020
AForge.NET Framework is a C# framework designed for developers and researchers in the fields of Computer Vision and Artificial Intelligence - image processing, neural networks, genetic algorithms, machine learning, robotics, etc.
Role in this project:
Backend Developer
Backend DeveloperContributions:9 commits, 3 PRs, 8 pushes in 5 years 2 months
Contributions summary:Andrew contributed to the AForge.NET framework by addressing issues and adding features related to video processing and directshow integration. They refactored code to correctly free FFmpeg's format context, fixed spelling errors in UI components, and enhanced snapshot capabilities. The user also added functionality for JPEG encoding in video acquisition.
genetic-algorithmsconvolutionaccelerationresearcherstizen
cvsandbox/PiRexBot
Sep 2017 - Aug 2018
Contributions:57 commits, 44 pushes in 11 months
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