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Francisco García Flórez

Career

2025 — Now

Quantitative Developer, IMC Trading, Amsterdam

Manager: Krishna Vyas

Driving a full revamp of the data foundation used for ML research in the team, and of the ML inference production stack using LLVM-based libraries and ONNX in the low-latency live trading systems.

2023 — 2025

Senior Machine Learning Engineer, ASML, The Netherlands

Manager: Alina-Camelia Onac.

Delivered and drove development over multiple years of an end-to-end application for training, inference and deployment of Machine Learning models encompassing cloud, customer premises and edge devices.

2021 — 2023

Design Engineer (Data Scientist), ASML, The Netherlands

Manager: Henk-Jan Smilde.

Design, implementation, and industrialization of Machine Learning algorithms for next-gen YieldStar tools.

2017 — 2021

Promovendus (PhD Student), Utrecht University, The Netherlands

Supervisor: Henk T. C. Stoof. Thesis: Excitons in 2D Semiconductors and Topological Insulators.

Studied the behavior of excitons in two-dimensional semiconductors for the development of state-of-the-art optoelectronic devices for next-generation solar panels and lasers.

Education

2015 — 2017

Master's Programme in Theoretical Physics, Utrecht University, The Netherlands

Supervisor: Henk T. C. Stoof. Thesis: Holographic Massive Fermions.

Finished Cum Laude (GPA: 8.5). Results peer-reviewed and published in April, 2018.

2011 — 2015

Bachelor's Degree in Physics, Universidad de Oviedo, Spain

Supervisor: Yolanda Lozano. Thesis: Introduction to String Theory.

Premio Fin de Grado (Summa Cum Laude, highest grade).

Experience

Leadership

Years of experience technically leading cross-functional teams: driving modernization of the stack, aligning stakeholders, and ensuring deliverables ship with high quality. Comfortable taking the lead while making space for every team member's input.

Soft Skills

Learned to navigate a challenging organizational environment to push for modernization. Informed and aligned expectations with stakeholders from across the organization and external vendors. Guided and helped multiple teams in the process by understanding their needs and addressing them together. Received numerous appraisals from teams and management for the collaboration and internal growth.

Machine Learning

Ten years of data analysis experience. Six years engineering experience designing, implementing, orchestrating, deploying and industrializing ML models for signal analysis. Extensive optimization experience using domain-specific knowledge. Implemented and analyzed key indicators to assess model performance after deployment.

Data Engineering

Multiple years leading modernization of the infrastructure to support analytics, high-throughput data ingestion and real-time observability. Always working on both infrastructure and application sides.

Rust and Python

Delivered many production-level applications in both Rust and Python separately as well as integrated using maturin. Experience testing, packaging, publishing, containerizing and deploying applications.

Infrastructure

Years of experience designing, implementing and maintaining a solution architecture on-prem, AWS and Azure. Many years of practical experience with other providers such as Hetzner, Scaleway, Backblaze, Cloudflare. Over ten years of experience administrating desktop, laptop, server and (hybrid) cloud environments.

Other Languages

Use of Typescript and C++ for professional and personal projects. Go for Terraform modules and other small projects. Familiar with object-oriented languages Java/Kotlin and C#.

Projects

Machine Learning

Driving complete revamp of the ML platform from the ground up to support new HFT trading strategies, involving multiple teams across the organization and external vendors.

Data Engineering

Centralized multiple data storage systems into a single ClickHouse cluster deployed on-prem to enable analytics, real-time observability, streaming patterns in model training and high-throughput data loading via Rust.

Infrastructure

Maintain the team deployments on on-prem Kubernetes as well as managed EKS on AWS.

Development

Designed and built the team's Cloud Development Environment at ASML on Coder and Kubernetes, supporting in-cluster ML development and iteration with devspace.

Interests

Efficiency

Drives continuous personal improvement, not by doing more but by doing it better.

Systems Engineering

From architecture, design to implementation, monitoring and maintenance. Actively deploy and maintain a multi-cloud Kubernetes cluster on Hetzner, with the Control Plane hosted on their Cloud offering, bare metal servers, and technically on-prem, since one node is at my house. Distributed systems are particularly interesting to me, especially regarding concurrency.

Passions

My family, our two cats, reading books, playing videogames and weightlifting motivate me to keep learning and growing as a person.

FOSS

Contributions to open source projects (ClickHouse, Dagster, Clarabel) and free software, making personal projects available on GitLab under MIT, Apache 2.0 and GPLv3 licenses.

Linux

Avid Arch Linux and NeoVim user.

Languages

English

Full professional proficiency

Dutch

B1 certificate by Taalcentrum Babel Utrecht

Spanish

Native