Stephen Alderman
Principal Application Engineer
Dacorum, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolStephen Alderman is a Principal Application Engineer with 12 years' experience in semiconductor video and vision IP, now combining deep technical expertise with business development and pre-sales support for neural network IP. He has a strong engineering foundation (MEng, University of Manchester) and a broad programming toolkit including Python, C++ and Java across Android, web and desktop domains. At Imagination Technologies he progressed from graduate roles to principal level, delivering demos, customer evaluations and technical leadership for video compression and processing solutions. An active open-source contributor, he improved core frame-data handling and memory layout in the VapourSynth video-processing framework, enabling tighter integration with NumPy and advanced subtitle animation features. Colocated in Dacorum, UK, he brings a practical blend of algorithmic depth and customer-facing clarity that speeds product adoption.
12 years of coding experience
10 years of employment as a software developer
Master’s Degree, Electrical and Electronics Engineering, MEng (2:1), Master’s Degree, Electrical and Electronics Engineering, MEng (2:1) at The University of Manchester
Github Skills (11)
video-processing10
python10
image-processing10
cython10
vapoursynth10
numpy9
memory-management9
api8
c178
apidoc8
c118
Programming languages (7)
Github contributions (5)
vapoursynth/vapoursynth
Jun 2014 - Oct 2015
A video processing framework with simplicity in mind
Role in this project:
Back-end Developer
Back-end DeveloperContributions:16 commits, 3 PRs, 29 comments in 1 year 4 months
Contributions summary:Stephen primarily contributed to the core functionality of the VapourSynth framework by implementing and improving frame data handling. Their work involved adding and refining functions for reading and writing frame data, including support for different data types like floats and integers. They addressed compilation issues and optimized memory layout within the Cython code, enabling the framework's efficient integration with other libraries like NumPy. Additionally, they implemented features for animation tags in subtitles.
video-processingvideomindffmpegprocessing-framework
splinter98/hass-core
Dec 2023 - Apr 2024
:house_with_garden: Open source home automation that puts local control and privacy first.
Contributions:14 pushes, 1 branch in 4 months
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