Colin Jarvis
Glasgow, Scotland, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolColin Jarvis is a product-minded engineering leader who builds and scales mission-critical AI solutions for enterprise customers, currently heading Forward Deployed Engineering at OpenAI and establishing SB OAI Japan’s FDE organization. He combines hands-on development and product ownership across Financial Services, Health & Social Care, Oil & Gas and Government sectors, and has led many of OpenAI’s highest-profile customer deployments. A pragmatic technologist, Colin contributes to well-known open resources like the OpenAI Cookbook (adding practical vector DB integrations such as Qdrant) and excels at turning advanced models into operational systems. His background spans data science, analytics and solution architecture from consulting and in-house roles, enabling him to bridge technical teams and commercial stakeholders. Based in Glasgow, he pairs international project delivery experience with a strategic lens shaped by early work in risk, audit and defence systems. Colleagues describe him as a builder who marries product intuition with deep technical execution to de-risk complex AI initiatives.
3 years of coding experience
6 years of employment as a software developer
Master of Arts (MA), Celtic Studies, Master of Arts (MA), Celtic Studies at The University of EdinburghMaster's degree, Strategy and International Security, Master's degree, Strategy and International Security at University of HullHigh School Diploma, High School Diploma at St. George's School
English, French, Russian, Welsh
Github Skills (6)
openai-api10
vector-database10
embedding10
python10
qdrant10
jupyter-notebook9
Programming languages (2)
Github contributions (5)
openai/openai-cookbook
Jan 2023 - Jan 2023
Examples and guides for using the OpenAI API
Role in this project:
Back-end Developer
Back-end DeveloperContributions:100 reviews, 3 commits, 52 PRs in 7 days
Contributions summary:Colin updated the text to include Qdrant in the vector database guide, focusing on integrating the Qdrant client for vector database search. The user implemented setup, indexing, and search data functionalities within the provided notebook. The contributions demonstrate a practical understanding of integrating vector databases with the OpenAI API, which is the main purpose of this repository.
apipythonopenai-apimachine-learningopenai
jamescalam/openai-cookbook
Jan 2023 - Mar 2023
Examples and guides for using the OpenAI API
Contributions:16 commits in 1 month
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