Saeid Ghafouri
Senior Research Engineer at Huawei Technologies Research & Development (UK) Ltd
City of Edinburgh, Scotland, United Kingdom
Summary
👤
Senior🎓
Top SchoolSaeid Ghafouri is a Senior Research Engineer with a PhD in Computer Science and nine years' experience building and deploying ML systems across cloud, edge, and IoT environments. He blends academic research—publishing work on energy-efficient video analytics, speculative LLM decoding, and heterogeneous autoscaling—with hands-on MLOps engineering, including contributions to widely used inference tooling like SeldonIO/MLServer. Adept at optimizing inference on constrained hardware (e.g., Jetson Nano) and improving model accuracy via parameter-efficient fine-tuning, he focuses on making advanced models practical in production through Kubernetes-based serving and autoscaling. His background spans industry and academia, from Huawei R&D to collaborative projects with Microsoft and Virginia Tech, and he brings low-level proficiency in Python, C++ and Java to systems problems. Notably, he has turned research prototypes into deployable systems that balance accuracy, latency and cost, reflecting a pragmatic approach to translating ML research into real-world impact.
9 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Cloud Computing and Machine Learning, Doctor of Philosophy - PhD, Cloud Computing and Machine Learning at Queen Mary University of London
Stackoverflow
163reputation
6kreached
0answers
12questions
Github Skills (20)
docker10
python10
dockers10
huggingface10
mlops10
batch-processing9
machine-learning8
fastapi8
pip6
gurobi6
kube-scheduler6
openai-gym6
networkx6
kubernetes6
autoscaling6
Programming languages (9)
Github contributions (5)
SeldonIO/MLServer
Sep 2022 - Jan 2023
An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more
Role in this project:
MLOps Engineer
MLOps EngineerContributions:14 reviews, 14 commits, 17 PRs in 4 months
Contributions summary:Saeid focused on enhancing the MLServer's functionality through various code changes. They added features for custom server configurations, container registry integration, and extracting text outputs. Additionally, the user addressed compatibility issues, optimized batch processing parameters, and integrated support for Hugging Face speech models. Their work involved direct interaction with model serving, batching, and runtime environments for machine learning models, aligning with MLOps practices.
xgboostmulti-frameworkspythonseldon-corelightgbm
saeid93/mobile-kube
Jul 2021 - Apr 2022
Contributions:82 commits, 17 pushes in 8 months
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