James Keane - Founding Engineer at Unify

James Keane

Founding Engineer at Unify

United Kingdom

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Summary

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Rockstar

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Top School

James Keane is a software engineer and AI product builder with ~4 years of experience shipping full‑stack production systems, most recently as a founding engineer at YC W23 startup Unify. He architected and owned an agentic LLM sales automation pipeline that achieved 15%+ conversion to booked calls, rebuilt a fractured developer analytics console into a paid product, and eliminated a fraud vector in a Stripe payments flow within a week. Comfortable across Python, TypeScript, FastAPI, Next.js and cloud infrastructure, he combines backend engineering, frontend UX design, CI/CD, and LLM orchestration to ship end‑to‑end features. He contributes to open‑source ML tooling—helping make Ivy interoperate across PyTorch, JAX, NumPy and TensorFlow—and built property‑based testing to catch cross‑backend edge cases. Outside work he built Realpolitik.world, a real‑time geopolitical dashboard with a 3D globe and an 8‑agent editorial AI pipeline, demonstrating a knack for productized research and creative side projects. Educated in AI at the University of Edinburgh, he pairs startup grit with rigorous technical craftsmanship.

4 years of coding experience

1 year of employment as a software developer

BSc Hons, Artificial Intelligence, Second Class Division One (2.1), BSc Hons, Artificial Intelligence, Second Class Division One (2.1) at The University of Edinburgh

Github Skills (14)

pytorch10

machine-learning10

api10

tensorflow10

jax10

python10

converter10

numpy10

transpiler9

neural-network9

deeplearning-ai9

translation9

transcode9

deep-learning9

Programming languages (2)

C++Python

Github contributions (5)

ivy-llc/ivy

Mar 2022 - Jan 2023

Convert Machine Learning Code Between Frameworks

Role in this project:

Back-end Developer & ML Engineer

Contributions:436 reviews, 70 commits, 217 PRs in 10 months

Contributions summary:James primarily contributed to the development and maintenance of machine learning code conversion functionality. Their work focused on implementing the `ones_like` function, ensuring adherence to the Array API Standard, across multiple frameworks, including PyTorch, Jax, NumPy, and TensorFlow. They also added and modified creation functions with docstrings across different backends, adding unit tests and correcting instance methods. This indicates a focus on the core functionality and compatibility of the project's code translation capabilities.

pythontensorflowframework-learningtemplatedata-science

iamjameskeane/unify

Sep 2024 - Feb 2025

A Python package for LLM dynamic routing through the Unify REST API.

Contributions:21 pushes, 4 branches in 5 months

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