Gurminder Sunner
Software Engineer
United Kingdom
Summary
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Rockstar🎓
Top SchoolGurminder Sunner is a software engineer and engineering leader with 11 years of professional experience building and shipping production-grade systems across games, startups, and ML infrastructure. As VP Engineering at Seldon, he helped architect and deliver components of a Kubernetes-native MLOps platform, contributing backend, model integration, and inference interfaces (REST/gRPC) to well-known open-source projects like Seldon Core and Seldon Server. He excels at taking features from concept to production—designing data models, integrating recommender systems, and tuning deployment stacks such as gunicorn and memcached libraries. Based in the UK, he blends hands-on backend and ML engineering with leadership experience, and his career path from game development to MLOps gives him a practical edge in performance-minded system design.
11 years of coding experience
22 years of employment as a software developer
City St George’s, University of London
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (17)
continuous-deployment10
recommendation-system10
back-end-development10
python10
mysql10
machine-learning10
ml-deployment10
mlops10
rest-api10
protobuffer10
protobuf10
grpc10
flask-ask9
kafka9
memcached9
Programming languages (11)
Github contributions (5)
SeldonIO/seldon-server
Mar 2015 - Jan 2018
Machine Learning Platform and Recommendation Engine built on Kubernetes
Role in this project:
Back-end Developer
Back-end DeveloperContributions:7 releases, 466 commits, 1 push in 2 years 10 months
Contributions summary:Gurminder primarily contributed to the back-end functionality of the Seldon-Server project. They implemented database table modifications, added Python scripts for external recommender systems, and updated the system to utilize a different memcached library. Their work also involved changes related to request parsing and the configuration of gunicorn with the recommender system. The user demonstrated a strong understanding of the project's architecture by working with different components.
gcppythontensorflowawsprediction
SeldonIO/seldon-core
Feb 2017 - Oct 2020
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
Role in this project:ML Engineer
ML EngineerContributions:29 releases, 4 reviews, 694 commits in 3 years 8 months
Contributions summary:Gurminder's contributions primarily involve the creation and integration of machine learning models within the Seldon Core framework, focusing on defining data structures, implementing prediction logic, and integrating machine learning models. The commits demonstrate the user's work on defining and using protobuf for machine learning model representations, as well as implementing examples and tests for model usage and integration within the Seldon Core framework. Moreover, the user's work includes integrating both REST and gRPC interfaces for deployment and inference.
monitorservingdata-sciencedeploymentmachine-learning
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