Sebastian Ene
Pcb Solutions Machine Learning Intern @Arm
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WORK HISTORY
Pcb Solutions Machine Learning Intern @Arm
Cambridge, GB
I architect high-performance optimisation pipelines in modern C++ and CUDA, blending PyTorch-driven learning loops to automate decision making across vast, heterogeneous search spaces. Collaborating with leading domain experts. I convert cutting edge research into production-grade code that pushes computational efficiency on future Arm-based platforms, while operating under strict confidentiality.
EDUCATION
Malcolm Arnold Academy
A-level
University of Southampton
Master of Engineering - MEng
ABOUT SEBASTIAN ENE
I build AI tools that turn multi-hour grind into minutes long wins. Engineering the future – Third Year MEng Electronic Engineering & Artificial Intelligence student at the University of Southampton, blending low-level hardware insight with large-scale ML systems. Shipping products, not slide decks – At mytender.io I architected LLM pipelines that attempted to accurately currate outputs and improved model performance, contributing to a £250 k pre-seed raise and a live customer base of 20+ companies. Lighting up the community – Ran an event with the university AI Society’s most workshop on diffusion models; mentor peers on getting generative models from notebook to production. Obsessed with leverage – From my new ARM-role where I am to optimise power effiency to hackathon prototypes built in <48 h, I prioritise speed to insight and measurable impact.If you’re pushing the edge of applied AI or need someone who will let’s talk about building something people actually use.
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