Experience

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  Ampersand

  Feb 2018 - Mar 2019

  Fullstack developer

  App development (Web and Mobile)Skills: .NET MVC (C#), Laravel (PHP), Ionic (TypeScript), Javascript, MySQL, Html/CSS, MaterialFrameworks: .NET, Laravel, Ionic

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  Grvc - grupo de robótica, visión y control

  Mar 2019 - Oct 2020

  Research and development scientist

  Researcher in the field of Algorithms Design and Analysis, Machine Learning and Data Science for the European Project GRIFFIN (https://griffin-erc-advanced-grant.eu)

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  Freelancer.com

  Oct 2020 - Feb 2021

  Full stack engineer

  Multi tasking Software Developer:1. I+D problem solving with Python2. Web scraping with BeautifulSoup and Selenium3. Hybrid App development with React-Native and Odoo

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  Universidad de sevilla

  Feb 2021 - now

  Research in the area of algorithmic design, algorithmic analisys, and computational geometry.Research topic: Path planning and optimization for drones applied in the inspection of solar collectors (Soldrone Project) Associate researcher at DENIM european project (Grant agreement with ID: 958339)Use of Data Science and Machine Learning to design and to implement energy-efficient Digital Twin models for Industrial purposes.

  • PHD Student

    Oct 2020 - now

  • Data Science Specialist

    Feb 2021 - Sept 2022
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  Time machine capital

  Jun 2022 - Mar 2024

  Machine learning engineer

  Involve in several projects related with machine learning including NLP, Pattern Detection, Clustering, and Sentiment Analysis.

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  The passion lab

  Sept 2024 - now

  Machine learning engineer

  As a Machine Learning Engineer, I have developed and deployed innovative solutions that leverage AI, automation, and cloud technologies to optimize business processes. My key contributions include:- Smart Agent Development: Designed and implemented intelligent RAG agents and text-to-SQL models using Twilio and OpenAI, enabling seamless question-answering and database updates via WhatsApp.- Process Automation: Streamlined lead and ticket management through automated task schedulers integrated with ORM systems.- Data Scraping and ML Training: Extracted and processed web data to build insightful dashboards and enhance machine learning model performance.- Cloud Engineering: Deployed and maintained AWS instances, including websites, databases, and scheduled task automation for optimized cloud operations.- Web Development: Developed proof-of-concept applications for clients to interact with and test machine learning algorithms.- Project Analysis and Research: Conducted budget analysis, feasibility studies, and project proposals, delivering comprehensive reports to guide strategic decision-making.Driven by a passion for AI innovation and scalable system design, I thrive at the intersection of machine learning, automation, and cloud infrastructure. Show less