Chus - about

I’m a machine learning engineer focused on applied ML and high‑performance LLM inference & serving.

Lately I’ve been helping shape Vajra, building Veeksha for evaluation, and advising startups on applied AI. Below is the short, human version of my timeline.

2025

Machine Learning Systems Engineer | Georgia Tech, Systems for AI Lab

Machine Learning Systems Engineer at Vajra, an upcoming open‑source inference engine. Designed and worked on quantization & MoE support, experiment infra, CI, and telemetry. Lead developer of Veeksha (LLM performance & quality evaluation).

2025

Applied AI Consultant | Independent

Advising companies on end‑to‑end applied AI: setting requirements, data, training, eval and serving.

2024

Visiting Researcher | Barcelona Supercomputing Center

While doing my MSc, I was a visiting researcher at the Barcelona Supercomputing Center. I briefly studied advanced batching for LLM inference.

2024

Data Scientist | CaixaBank

Designed and shipped ML systems for asset & credit risk. Productionized work with measured impact in the tens of millions.

2022

Research Assistant | U. of Waikato & BarcelonaTech

For ~2 years, I was interned and employed in various ways by the two institutions. Participated in two distinct projects.

TAIAO: The "Time-evolving Data Science and Artificial Intelligence for Advanced Open Environmental science" project. I worked on explainable AI under the supervision of Dr. Alvin Jia and Prof. Albert Bifet. In particular, on the evaluation of explanations and if explanations could be extracted from Attention.

COPEDI-Cat: A COVID-19 emergency response group by the Catalan government. +150 paediatricians collaborated in a network. As part of the BIOCOMSC research group, I was tasked with data analysis and modeling. To this day, we still collaborate in one-offs.

2021

BSc in Data Science and Engineering | BarcelonaTech

First cohort of Spain’s data science program. Thesis and internships centered on ML.