Mike Anderson
Chief Architect at Nuroko
United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolMike Anderson is a seasoned technology leader and entrepreneur with 15 years of hands-on experience building AI, data and decentralized systems, currently serving as Co-Founder and CTO of Covia.ai and Managing Director of the Convex Foundation. Trained in Economics and Mathematics at Cambridge with an MBA from INSEAD, he blends rigorous quantitative thinking with product-focused engineering and startup scale-up experience. He co-founded Nuroko to advance next-generation machine learning and has led CTO roles at Datacraft, DEX/Ocean Protocol, delivering interoperable data and decentralized exchange technology. A prolific open-source contributor and Lisp hacker, his work on Clojure projects (including core.matrix, Incanter and machine-learning tooling like cortex) shows deep expertise in numerical computing and neural network implementations. Notably, he combines systems-level architecture and research-grade ML engineering, comfortable moving from low-level array libraries to building developer platforms for the Internet of Value.
16 years of coding experience
19 years of employment as a software developer
MA Economics and Mathematics, MA Economics and Mathematics at University of CambridgeMBA, MBA at INSEAD
Stackoverflow
105,832reputation
6.2mreached
1,248answers
195questions
swing
top-5%
closures
top-5%
naming-conventions
top-5%
dictionary
top-5%
dynamic
top-5%
artificial-intelligence
top-5%
Github Skills (81)
programming-language10
multidimensional-arrays10
testing10
mat10
compiler-construction10
concurrency10
matrix10
initializr10
clojure10
neural-network10
dropout10
algorithm10
clojure-cli10
macros10
java10
Programming languages (12)
Github contributions (5)
mikera/core.matrix
Jan 2013 - Dec 2022
core.matrix : Multi-dimensional array programming API for Clojure
Role in this project:
Back-end Developer
Back-end DeveloperContributions:2149 commits, 51 PRs, 372 pushes in 10 years
Contributions summary:Mike's commits focused on enhancing the core matrix library functionality for the multi-dimensional array programming API for Clojure. These changes included the implementation of new matrix operations such as a general transpose, and the addition of API functions and protocols for inner products, matrix comparisons, and a generalized "slice" function with enhanced row and column operations. The updates also involved extensive work to the internal data structures, ensuring consistency, and optimising performance.
clojuremultidimensional-arrays
rosejn/cortex
Nov 2015 - Nov 2016
Machine learning in Clojure
Role in this project:ML Engineer
ML EngineerContributions:209 commits, 3 pushes, 13 comments in 1 year
Contributions summary:Mike primarily contributed to the development of a neural network toolkit in Clojure, focused on machine learning functionality. Their commits demonstrate a deep understanding of neural network concepts, implementing layers, loss functions, and optimizers. The contributions include building basic linear weighted layers, the logistic module, and modules like Dropout and Gaussian noise for enhancing the training process. The user also implemented and tested different optimisation algorithms for the created network.
clojuremachine-learning
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.