There is nothing noble in being superior to your fellow man; true nobility is being superior to your former self. ― Ernest Hemingway

Hello!

I’m Fran, a Data and Technology Specialist. My roots are in Zaragoza, but my heart is in Valencia . With a background that blends science, engineering, and software development, I’m dedicated to translating data into actionable and valuable insights for strategic decision-making.

I design solutions that deliver the desired output and make an optimal use of the available resources at the same time. I have expertise in optimizing processes and operations and extracting value from data to drive strategic decisions. I have over 9 years of experience in data management and analysis in scientific and technological environments, transforming knowledge into tangible impact. My career spans from bioinformatics and biomedical engineering to advanced analytics and large-scale data utilization, including processing, analysis, and interpretation. Additionally, I continue to refine my skills in software architecture, information management, deployment automation (DevOps), and cloud computing to maximize my impact and deliver more value to individuals, teams, and organizations.

If you’d like to know more about how I work, you can check out this link, where you’ll find some examples from past and present work experiences.

Where I come from and where I’m going

My curiosity for creating and understanding complex systems began with LEGO, designing structures piece by piece. Over time, my passion for building from logic and creativity evolved into the digital world when I discovered computing with an iMac G3, the iconic computer with which Steve Jobs relaunched Apple after his return. That was the beginning of my journey into engineering.

What started as simple curiosity became a vocation¹. This growing interest led me to study Computer Engineering, where I discovered that, at its core, technology is not just about algorithms and systems but about helping people solve real problems and live healthier, more sustainable, and meaningful lives.

I began my professional career developing processes for the massive analysis of genetic data, identifying mutations associated with predisposition to various diseases. This work allowed me to specialize in data analysis and operations optimization, which are key skills in environments where data-driven decision-making is essential.

In 2022, I completed my PhD in Biomedical Engineering, focusing on modeling and predicting the cellular migratory response, a fundamental biological process not only for life and development but also associated with some of the leading causes of morbidity and mortality². During this stage, I developed computational models to replicate the behavior of these systems and an autonomous methodology based on Bayesian optimization that facilitates the integration of theoretical studies with experimental data. This project advanced biomedical research and added value in contexts where data modeling, analysis, and interpretation are key to decision-making.

In 2023, I leaped to industry with Caphunters, a retail company specializing in fashion accessories . In this project, I honed my skills in time series analysis, applying statistical models and artificial intelligence to predict demand for their catalog, optimize inventories, and maximize sales.

Currently, I continue to refine my data management skills and expand my experience with key tools in the modern data ecosystem, including:

Storage and analytics: PostgreSQL and BigQuery.
Data orchestration: Airflow and Kestra.
Data loading and ingestion: dlt.
Data transformation: dbt.
Business analysis and visualization: Metabase and Google Looker Studio.
Deployment and automation: Docker, Terraform, and Google Cloud Platform.

If you want to see what I’m working on, you can explore some of my work in my public GitHub repository:

I am also learning about the applications of large language models (LLMs) and how to use them in multi-agent systems:

LLM/Agent orchestration (e.g., Swarm) of routing/triage and specialized agents, Agent-as-a-Judge and ReAct frameworks, RAG systems, etc.

My Work Approach and Contributions

Advanced Data Management to support strategic decision-making.
Process and Operations Optimization to improve efficiency, automate workflows, and reduce costs.
Holistic Approach combining research, advanced modeling, and practical implementation in technological and industrial environments.
Continuous Learning in new techniques, technologies, and tools to generate more impact and deliver more value.

About Me

My family environment has deeply influenced my professional journey: I grew up surrounded by doctors and agricultural engineers, which sparked a fascination for understanding complex systems. As a result, I dedicated eight years to studying fundamental processes and systems for life and development. Note that these processes are also related to some of the leading causes of morbidity and mortality.

This combination of influences has given me an analytical mindset, an insatiable curiosity, and a commitment to continuous growth. But, above all, it has instilled in me a vision focused on impact and value delivery, principles that guide both my work and my approach to challenges.

I am motivated to face new challenges and keep learning to boost impact and deliver value. Throughout my career, I have gone from being a complete beginner in some areas of knowledge to actively contributing to their growth and development. For example:

Genetics, massive data analysis, and sequence alignment: Publication at the International Conference on Bioinformatics and Biomedicine.
Predictive modeling of complex biological systems in high-performance environments with Bayesian optimization: Doctoral thesis in Biomedical Engineering.
Demand estimation with time series using statistical and artificial intelligence models: Contribution to the development of Darts, one of the most widely used open-source libraries in this field.

I enjoy working in teams and learning from people with unique stories and experiences. I have had the opportunity to collaborate with professionals from various disciplines, which has allowed me to grow, deliver value, and develop solutions in multi- and interdisciplinary environments.

Throughout my career, I have collaborated with experts in artificial intelligence, mechanobiology, bioinformatics, and optimization, among other areas. Elvira Mayordomo and Jorge Álvarez-Jarreta (computer theory and bioinformatics), José Manuel García Aznar and Mª José Gómez Benito (mechanobiology), Rubén Martínez-Cantín (artificial intelligence and Bayesian optimization), or Fabian Spill (mathematical modeling of systems biology) have been great mentors.

I highly value teamwork, which allows me to collaborate and learn from my colleagues to achieve common goals.

Below are relevant examples of my appreciation for teamwork and interdisciplinary collaboration with colleagues with complementary experiences and skills from two of the research projects I developed during my doctoral studies:

I have enjoyed both the mentor and the learner roles.

Below are relevant examples of my experiences in both roles:

Mentor: BSc thesis of Alejandro Modrego Bravo and Benjamín Real Ruiz that I co-supervised during my PhD.
Learner (and the ability to become an expert in a knowledge area): my PhD thesis.

I maintain a balance between strategic vision and attention to detail. I ensure every decision adds value to the main objectives without neglecting the key aspects that make a difference.

Below are relevant examples of:

The strategic vision of my collaborations** with (i) industry leaders like SigOpt (an AI-driven Optimization-as-a-Service platform at scale, acquired by Intel in 2020) and (ii) academic partners like Rubén Martínez Cantín (expert in machine learning and Bayesian optimization) and Yago Juste Lanas (expert in mechanobiology) allowed the creation of a Bayesian optimization-based methodology for the integration of theoretical studies and experimental data.
My attention to detail allowed me to report a bug in the official repository of Darts, an open-source library for time series prediction and anomaly detection. I was able to solve this bug with this pull request.

I write clean, structured, and well-documented code. I ensure the code, workflows, and decisions behind each implementation are recorded, facilitating their understanding, maintenance, and scalability.

Below are relevant examples of:

This Python module for managing data related to NYC yellow taxi (monthly) trips and ingesting it into a PostgreSQL server showcases my efforts to produce clean and structured code.
The following reports demonstrated my efforts to document workflows and decisions made:
1. Containerizing and securing a PostgreSQL server and pgAdmin.
2. Using infrastructure as code on Google Cloud Platform.

As a person with a growth mindset, I seek opportunities to continue training, learn new techniques, gain experience using novel technologies, and develop and implement best practices.

My Strengths

Accelerated Learning: Proven ability to adapt to new disciplines, generate impact, and deliver value quickly.
Interdisciplinary Collaboration: Experience working with experts from various fields to develop innovative solutions.
Strategic Vision with Attention to Detail: Balance between global perspective and meticulous execution.
Clean Code and Best Practices: Software development with high-quality standards and clear and concise documentation.

Beyond the professional sphere, I strive to balance mind and body. I am passionate about continuous learning through books, podcasts, meditation, cardio, and strength training .

Discovering new places and cultures with my family (both the original and the chosen one ) is something I cherish greatly. I fondly remember our summer trips around Europe , many by car . I have a special connection with the Royal Parks of London³ and the vibrant energy of New York City ⁴. I have already started planning my next trips to South Korea and Japan, and my list of pending destinations continues to grow.

My curiosity doesn’t stop in the professional realm; I am always exploring new areas of knowledge:

Agriculture and sustainability : As a child, I accompanied my grandfather to his walnut farm in the ice or cold triangle, which sparked my interest in agriculture and sustainability. Today, I maintain that connection by harvesting olives at the grove of a dear friend in Ontinyent.
DIY and Repairs : With the help of my builder father-in-law and a handyman friend, I have learned to repair appliances, tile bathrooms, and change floors. My next project will focus on home automation by automating the control of my house blinds.

I am always open to new opportunities, learning, and interesting conversations. If you think we can discuss and exchange ideas or collaborate on a project, feel free to reach out!

And if you have a book, podcast, or travel destination that you think I can’t miss, I’d be happy to find out about it!

I haven’t stopped building LEGO sets as an adult . ↩
You can check my doctoral thesis here. ↩
I proposed to my partner in Bushy Park. ↩
I got the bug for birdwatching during a walk through Central Park. ↩