Background and experience.
From data science at UPC in Barcelona to a PhD in distributed LLMs at Northeastern.
A bit about me.
BSc in Data Science and Engineering from UPC. Solid foundation in CS, math, statistics, and signal processing. Now doing a PhD in Computer Engineering at Northeastern, focused on work that ships and pushes ML and distributed systems forward.
Where I studied.
PhD in Computer Engineering
Northeastern University · Boston
Working at the intersection of ML, LLMs, distributed training and inference, and edge AI. Interested in making models more resilient, in running AI efficiently on edge and cloud, and in how AI can improve telecom — network performance and automation. Especially curious about LLMs: attention, knowledge representation, and editing.
BSc in Data Science & Engineering
Universitat Politècnica de Catalunya · Barcelona
GPA 8.89/10. Honors in four courses: Discrete Mathematics & Logic, Mathematical Optimization, Search and Analysis of Information, and Advanced Topics of Data Science.
High School
La Salle Bonanova · Barcelona
Graduated with honors. Scored 13.556/14 on the PAU university entrance exams. Math contests (Pangea, "Fem Matemàtiques") and extra math enrichment.
Things I've worked on.
BSc Thesis · Genesys Lab
Northeastern · Institute for the Wireless Internet of Things
AI for wireless communications. Designed and implemented AI-based approaches for signal classification. This work got me into AI + wireless and I've been here since.
AI Engineer Intern
Abi Global Health
Internship at a global tele-health company. Improved monitoring in their MLOps setup and helped the AI Lab build new ML models and improve existing ones.
BECO · environmentally-conscious decisions
Naptilus Tech Lab
Built a software product that used user data to help people reduce their carbon footprint. Shipped "BECO" — an app that used ML to suggest more sustainable options.
Want to work together?
Best way is email. I read everything, even if my replies aren't always fast.