Jeff Turnham
Associate Vice President, Chief Architect, AI Force
Newmarket, Ontario, Canada
Summary
🤩
Rockstar🎓
Top SchoolJeff Turnham is an experienced cloud and security architect who currently leads AI Force as Associate Vice President and Chief Architect at HCLTech, specializing in HCL SoFy, a cloud-native platform for deploying and managing containerized applications. He blends deep hands-on expertise in Kubernetes, microservices, GKE, and end-to-end security tooling with a proven track record spanning enterprise product architecture and startup leadership. Prior roles at IBM and his own AI startup, AI Bloks, show a career that moves fluidly between product-focused engineering, security, and AI infrastructure. He contributes to open-source machine learning tooling—working on llmware to improve model loading, inference parameters, and cross-platform deployment—bringing practical DevOps and Windows compatibility fixes to production-ready stacks. Based in Newmarket, Ontario, Jeff pairs pragmatic engineering with strategic vision, often translating complex security and cloud requirements into deployable platforms. His background in both low-level development (Java/C++) and senior architecture roles gives him unusual breadth for designing secure, scalable AI systems.
7 years of coding experience
27 years of employment as a software developer
Bachelor Computer Science, Bachelor Computer Science at McMaster University
English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (12)
python10
llm10
ml-deployment9
devops9
shared-libraries9
machine-learning9
build-system9
continuous-deployment9
aws8
onnx8
linux8
windows8
Programming languages (1)
Github contributions (5)
llmware-ai/llmware
Oct 2023 - Dec 2023
Unified framework for building enterprise RAG pipelines with small, specialized models
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:110 PRs, 65 pushes, 97 branches in 2 months
Contributions summary:Jeff contributed to shared library packaging updates, likely related to build and distribution processes. They modified the `llmware` library, specifically around model loading and inference parameters, indicating work on core functionalities. Additionally, the user made updates to the AWS launch script, demonstrating involvement in infrastructure and deployment configurations. Furthermore, they have made several changes to the code base to ensure the code is working on Windows.
agentsgenerative-ai-toolsllamacppllmonnx
turbo-code/golfpool
Apr 2023 - Mar 2025
Contributions:23955 pushes in 1 year 11 months
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