Niall Devlin

Machine Learning Engineer @Cosine

London, GB
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Mar 2025 — Present

Machine Learning Engineer @Cosine

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London, GB

Cosine - World\'s highest SWE-Lancer Scorehttps://cosine.sh f•••••••@cosine.shCosine’s Genie is the fastest, lightest and most capable autonomous software engineer. Genie gives customers the ability to achieve a x600 ROIWith just one attempt at each task, Genie generated $88k of real world value from just $140 spent.We achieved the world’s best score on SWE-Lancer at 49%, representing a x3 increase in performance compared to OpenAI’s o1 (high) and a x2 increase compared to Anthropic’s Claude. All at a fraction of the cost. SWE-Lancer is a benchmark developed by OpenAI that tests AI agents against $1M of real software engineering tasks from Upwork.

EDUCATION

2007 — 2014

Methodist College Belfast

A-Level and GCSE, Mathematics, Further Mathematics, Physics and Chemistry

2014 — 2017

University of Cambridge

Bachelor's degree, Natural Sciences (Physics)

2017 — 2018

University of Cambridge

Master of Science - MSci, Natural Sciences

ABOUT NIALL DEVLIN

I\'m a Machine Learning Engineer at Synthesized, and was a physicist in a previous life. I\'m focussed on developing solutions to empower businesses to overcome their data access challenges through the use of generative AI. At Synthesized, we solved the traditional problem that every company faces, giving users access to production quality data in a secure way for use in non-production environments. I did my PhD at the University of Cambridge, focussing on a new class of materials known as topological insulators and their use in quantum information processing and low power electronics. My PhD gave me an opportunity to work across a wide variety of physics, including experimental, theoretical and computational investigations. I\'m originally from Belfast and have recently made the move from Cambridge to London. I\'ve always loved running, but have recently taken up climbing 🧗 and am always keen to try pretty much any sport. I\'m pretty obsessed with football as well, so when I\'m not at work you can usually find me pouring over data and stats from the premier league. If you want to get in touch and discuss anything that you\'ve seen on my profile then please get in touch via email and I\'ll be happy to chat about anything!

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Niall Devlin — Machine Learning Engineer at Cosine in London, GB | Unifers