Mark Edmondson
Founder, AI Engineer at 8-bit-sheep
Copenhagen, Capital Region of Denmark
Summary
👤
Senior🎓
Top SchoolMark Edmondson is an AI-focused engineer and founder with over a decade of experience turning data and ML research into production systems. He builds infrastructure and languages for generative AI—founding Sunholo to deliver Multivac (a backend-agnostic GenAI DevOps platform) and creating AILANG, a functional language for AI-assisted development. His hands-on stack spans multi-agent systems, RAG architectures, vector databases, LangChain, and cloud-native tooling on Google Cloud and Azure, with privacy-first enterprise deployments such as RockGPT. An active open-source contributor, he improved Google Cloud integrations for the popular ropensci/targets R workflow package, reflecting his blend of data-science roots and cloud engineering. As a Google Developer Expert, speaker and O’Reilly author based in Copenhagen, he focuses on making GenAI practical and scalable for organizations while exploring cognitive multi-agent abstractions that may redefine AI engineering.
11 years of coding experience
8 years of employment as a software developer
MSCi, Physics, MSCi, Physics at King's College London
English, Danish
Stackoverflow
2,581reputation
197kreached
131answers
26questions
shiny
top-5%
google-analytics
top-5%
r
top-5%
Github Skills (21)
r-package10
r10
gcp10
google-cloud-storage10
google-analytics9
testing9
reproducible-research9
shiny9
workflow-engine8
data-science7
pipeline7
ggplot6
server6
metadata6
voice-recognition6
Programming languages (16)
Github contributions (5)
ropensci/targets
Dec 2021 - Jan 2022
Function-oriented Make-like declarative workflows for R
Role in this project:
Backend Developer
Backend DeveloperContributions:11 reviews, 19 commits, 2 PRs in 1 month
Contributions summary:Mark primarily focused on adding and improving Google Cloud Platform (GCP) integration within the `targets` R package. They implemented new functions for interacting with Google Cloud Storage (GCS), including upload, download, and object management capabilities. The contributions also encompassed writing unit tests to ensure the GCS functionality operated correctly, as well as refactoring code to adhere to code style guidelines.
r-packagepipelinerdata-sciencehigh-performance-computing
MarkEdmondson1234/Shiny-R-SaaS
Mar 2020 - Jul 2020
Bootstrap a paid R SaaS using Shiny, Firebase and Paddle
Contributions:24 commits, 1 PR, 23 pushes in 4 months
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