Simon Roberts
Systems Engineering Manager at World Wide Technology
Bracknell, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolSimon Roberts is a Systems Engineering Manager with 13 years in cloud and systems leadership and a 30+ year technical career that spans software engineering, pre-sales, and storage practice management. He builds and leads high-performance teams across public and sovereign clouds, LLM clusters, and edge inference, consistently improving win rates and retention through process-driven, customer-first designs. Simon combines hands-on ML engineering—contributing to generative audio model fine-tuning and tooling—with strategic pre-sales and solutions architecture experience at firms like Rackspace and Gcore. Known for empathetic coaching and appointing clear solution owners for complex cross-platform projects, he turns technical complexity into executable, sign-off-ready solutions. Based in Bracknell, he mixes practical engineering depth with measurable business impact, often leveraging generative AI to streamline troubleshooting and working practices.
14 years of coding experience
32 years of employment as a software developer
HND Computer Software Engineering, HND Computer Software Engineering at Brighton METThomas Bennett Community College
Stackoverflow
354reputation
84kreached
31answers
4questions
Github Skills (14)
generative-model10
pytorch10
jupyter-notebook10
machine-learning10
python10
fine-tuning10
audio-processing9
weighting9
audio6
linux6
speech-recognition6
naudio6
zlib6
alsa6
Programming languages (20)
Github contributions (5)
Harmonai-org/sample-generator
Oct 2022 - Jan 2023
Tools to train a generative model on arbitrary audio samples
Role in this project:
ML Engineer
ML EngineerContributions:5 reviews, 16 commits, 9 PRs in 3 months
Contributions summary:Simon primarily contributed to the fine-tuning process of a Dance Diffusion model within a Jupyter Notebook environment, as evidenced by the commits modifying the fine-tuning notebook. The user added features to improve the finetuning process and also added support for Weights & Biases for run tracking. They focused on adapting the training script and notebook for fine-tuning a Dance Diffusion model. Additionally, they made changes to prevent audio clipping and improve the user experience by adding links to the training notebook.
audiogenerative-model
twobob/Hobo
Nov 2020 - Jan 2026
Contributions:411 pushes, 1 branch in 5 years 2 months
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