About the Team
OUR FOUNDER
Hello! My name is Matthew McAteer
I'm a Technologist, Entrepreneur and Full Stack Machine Learning Scientist
In 8+ years I've built technology across industries, for businesses of all shapes and sizes. My edge is through using modern frameworks, scientific methodologies and platforms to design, build and deliver innvoative projects, fast.
MORE ABOUT ME
An innovative yet practical approach
Keeping it real, making use of modern tools and scientific methodoligies to accelerate business growth and establishing unfair advantages.
Rapid Prototyping & MVP
From concept, ideation and prototyping to MVP, testing and launching technology enabled business defines who I am.
End-to-End AI Solutions
Over the years, I've specialized in all aspects of AI solutions, from data collection and preprocessing to model development and deployment, ensuring effective applications at scale.
Business Model Innovation
With deep experience of SaaS, Cloud, Fundamental AI Research, Biotech, I help in developing the right business model, through experimentation and iteration.
AI Infrastructure / On-Prem and Cloud-Based Solutions
As an early adopter and advocate of cloud-based and on-prem AI, I use leading-edge tools, frameworks, and techniques to provide businesses a significant advantage in time to market and cost-efficiency.
Tools I Work With
Here are some of the tools and platforms I use to do my job. I'm constantly researching and testing new technologies.
Languages
Python, JavaScript/Node, C++, Golang, Julia, R, Solidity, Bash, Lua, MATLAB, Scala, Rust.
Frameworks
PyTorch, Tensorflow, JAX, Scikit-Learn, Numpy, Pandas, Langchain, LangchainJS, Typescript, React, Gatsby, Next.js, React Native, Astro, Tailwind CSS, OpenCV, Robotic Operating System (ROS), D3, Django, FastAPI, Flask, Jupyter, Nginx, OpenGL, PyTest, SQLAlchemy, ThreeJS.
Platforms
Amazon Web Services
(EC2, Sagemaker, Titan, Lambda, DynamoDB, SQS, Kinesis, S3, API Gateway, ECS/Fargate)
Microsoft Azure, Google Cloud Platform, Lambda GPU Cloud, Heroku, Digital Ocean, Vercel, Render, Netlify, Modal Labs, Replicate.
Windows, MacOS, Linux, Aarch64, Debian, Raspberry Pi, Arduino, Ubuntu.
DevOps / MLOps
Git, GitHub, GitLab, Docker, Kubernetes, Ansible, Terraform, Pulumi, GitLab, Jenkins, Circle CI, Weights & Biases, ArgoCD, Bitbucket, Grafana, Anaconda.
Data Engineering / Databases
MongoDB, Cassandra, MySQL, Oracle, Postgresql, Prometheus, Redis, SQLite, FaunaDB, Neo4j, Apache Kafka, Apache Spark, Elasticsearch, Hadoop, Vector Databases (Pinecone, Weaviate, Chroma)
Other Tools
HuggingFace, OpenAI, Anthropic, Cohere, Algolia, AI21, GraphQL, Airtable, Zapier, LatchBio, Godot, Supabase, Firebase, Figma, Blender, Confluence, Jira, LabView, Latex, Maya, Rstudio, Selenium, Slack, Unity, Unreal, Vim, VSCode, Replit, Google Colab.
Over 8+ years, I've founded numerous startups, some successes 🍾, some failures 🤦🏼♂️, here are the most notable.
Startups I've Founded
A weather map, but for transformer-level location-specific electricity prices. High MRR, but was nerfed (and later shut down) at the request of the DoE shortly after the Russian invasion of Ukraine.
No-code tool for building and deploying private machine learning workflows. Received seed funding at $1M valuation.
ArXiV on the Interplanetary File System. Acquired by Inkrypt for an undisclosed amount.
Metabolic Engineering startup, focused on engineering e.coli to more cheaply produce short-lived NAD+ precursors. Received support from MIT's The Engine accelerator and raised $500K.
In between startups, I've worked on various projects for companies big and small, giving me key insights into building technology at all levels.
Work History
Formic Labs (now Deep Origin) is developing technologies to accelerate biology R&D.
Infrastructure for GPU-accelerated self-supervised learning experiments.
The Next Generation Platform for Identity and Authentication. Acquired by Prove.
Worked on Tensorflow Probability.
Computer vision on multi-photon microscopy images for Alzheimer's Research.
Recent Publications
Here are some of the articles and features from the things I've been involved in.
Model Weight Theft With Just Noise Inputs: The Curious Case of the Petulant Attacker
This ICML 2019 paper describes a method for stealing model weights from neural networks using just noise generated from an Ising distribution.
19 Dec 2019
Bioprocess decision support tool for scalable manufacture of extracellular vesicles
A decision support tool (DST) that computes the most cost-effective technologies for manufacturing EVs at different scales.
31 July 2018
SPICEs: Survey Papers as Interactive Cheatsheet Embeddings
A new medium for survey papers that allows readers to interactively explore the content in an SVG-encoded format, with an example gallery covering 'hot button' areas in machine learning such as Out of distribution detection, the 'All you need' histrionics and Transformer architectures
15 Mar 2021
Areas of Specialisation
A set of unorthodox yet complimentary skills to create advantage
AI Strategy and Transformation
Whether you're a start-up seeking to harness AI for a competitive edge, or an established business navigating a transition to AI, I help organizations create and implement effective AI strategies.
AI-First Infrastructure
AI-First technology is poised to define the next decade's technological landscape. Companies that leverage it early can secure a significant competitive advantage.
AI-Driven Growth Strategies
I harbor a deep fascination with AI-driven growth strategies, leveraging technology, data, and innovative approaches to enhance customer acquisition and drive business growth.
AI Drug Discovery
Profound expertise in AI for drug discovery, utilizing machine learning algorithms and techniques to expedite the drug discovery process and improve the precision of bioinformatics.
How do I aid businesses?
Cloud & Infrastructure Cost Reduction
Many firms find themselves burdened with excessive costs for AI/ML infrastructure. I work with these businesses to significantly reduce expenditure by optimizing legacy and modern architectures.
Virtual CTO
For startups seeking guidance on AI/ML technology decisions or wishing to implement strategies that provide a competitive edge.
AI/ML Pipeline Automation & Setup
Building best practice, secure AI/ML pipelines and automations to allow businesses to develop, train, and deploy models rapidly and securely.
Zero to MVP
Leveraging my extensive experience building AI/ML minimum viable products, I ensure a swift path to the first release with a tech stack that is future-proof.
AI-Enabled Business Innovation
For businesses that need to find growth triggers or have plateaued and need to innovate around their AI applications and strategies.