About me

I'm a Machine Learning Engineer focused on building, optimizing, and deploying ML systems in production. I work at the intersection of software engineering and AI, turning models into scalable applications and reliable pipelines that deliver real-world impact. From data processing and model training to deployment and performance optimization, I care about writing clean, efficient, production-ready code.

I'm driven by experimentation and practical problem-solving, always searching for smarter architectures and faster systems. I enjoy tackling complex challenges, refining models, and engineering solutions that are both technically strong and maintainable.

Beyond engineering, I'm passionate about entrepreneurship and the startup ecosystem — where speed, creativity, and execution shape the future 🚀.

"Good ideas are always crazy until they're not."

— Elon Musk
terminal

~$ whoami

edgar — ML Engineer @ Barcelona

~$ git log --oneline -3

a1b2c3d feat: deploy LLM pipeline to prod

f4e5d6a fix: optimize vector DB queries

7890abc feat: integrate RAG into chatbot

~$

Programming Languages

  • Python
  • Go
  • Node.js

ML & Data Science

  • TensorFlow
  • scikit-learn
  • Pandas/NumPy
  • MLflow
  • Scraping

LLM & GenAI

  • OpenAI API
  • Hugging Face
  • Vector DBs

Infrastructure & Cloud

  • Docker
  • MongoDB
  • ClickHouse
  • Airflow
  • GCP

Resume

Experience

  1. Machine Learning Engineer at Semrush

    2022 — Present
  2. Machine Learning Engineer at Kompyte

    2019 — 2022
  3. Machine Vision Programmer at Vision Online SL

    2018 — 2019
  4. Research Intern at Computer Vision Center (CVC)

    2017

Education

  1. FutureLeaders - ThePower Business School

    2019 — 2020
  2. Computer Engineering - Universitat Autònoma de Barcelona (UAB)

    2014 — 2018

Languages

  • English

    B2
  • Spanish

    Native
  • Catalan

    Native