Resume
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I have a BSc in Data Science and Engineering from Universitat Politècnica de Catalunya, with a solid base in CS, math, statistics, and signal processing. I’m now doing a Ph.D. in Computer Engineering and I’m into research that actually moves things forward—especially in ML and AI. I like to get things done and I’m looking to have a real impact in the field.
PhD in Computer Engineering, Northeastern University, Boston
January 2024 - Present
My work is at the intersection of ML, LLMs, distributed training and inference, and edge AI. I care about making models more resilient and robust, and about how we can run AI efficiently on edge and cloud. I also look at how AI can improve telecom—network performance, automation. I’m especially interested in LLMs: attention, knowledge representation, and editing. I want to build systems that are efficient, scalable, and reliable.
BSc degree in Data Science and Engineering, Universitat Politècnica de Catalunya, Barcelona
September 2019 - July 2023
Graduated with a GPA of 8.89/10. Got honors in four courses: Discrete Mathematics and Logic, Mathematical Optimization, Search and Analysis of Information, and Advanced Topics of Data Science.
High School, La Salle Bonanova, Barcelona
September 2017 - June 2019
Graduated with honors; scored 13.556/14 on the university entrance exams (PAU) and got the PAU distinction. Took part in math contests (Pangea, “Fem Matemàtiques”) and did extra math enrichment classes.
Genesys Lab at Northeastern University, BSc thesis development
February 2023 - July 2023
I worked with a research team at the Institute for the Wireless Internet of Things on AI for wireless communications. I designed and implemented AI-based approaches for signal classification. That work got me interested on AI + wireless and I’ve been in that space since.
Abi Global Health, AI Engineer internship
March 2022 - December 2022
Interned at a global tele-health company. I improved monitoring in their MLOps setup and helped the AI Lab build new ML models and improve existing ones.
Datathon/Hackathon participation
2021 - Present
I’ve done a bunch of datathons and hackathons—UPC Datathon and Google Hash Code (twice). They’ve sharpened my problem-solving and teamwork, and I like doing them whenever I can.
BECO, a tool to boost environmentally conscious decisions
February 2022 - June 2022
Built a software solution for Naptilus Tech Lab that used user data to help people reduce their carbon footprint. We shipped “BECO”, an app that used ML to suggest more sustainable options (e.g. eco-friendly places).
I’m strong in problem-solving and critical thinking, and I work well in teams. I pick up new things quickly and I’m comfortable with change. I care about doing good work, I manage my time well, and I stay organized. That’s how I get things done.