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Ignacio I. AI, Data Engineering and General Development

My name is Ignacio I. and I have over 0 years of experience in the tech industry. I specialize in the following technologies: n8n, Data Engineering, Data Science, Machine Learning, Artificial Intelligence, etc.. I hold a degree in Doctor of Philosophy (PhD), Master of Science (MS). Some of the notable projects I've worked on include: Mubind, DarvasAI. I am based in Frankfurt am Main, Germany. I've successfully completed 2 projects while developing at Softaims.

I value a collaborative environment where shared knowledge leads to superior outcomes. I actively mentor junior team members, conduct thorough quality reviews, and champion engineering best practices across the team. I believe that the quality of the final product is a direct reflection of the team's cohesion and skill.

My experience at Softaims has refined my ability to effectively communicate complex technical concepts to non-technical stakeholders, ensuring project alignment from the outset. I am a strong believer in transparent processes and iterative delivery.

My main objective is to foster a culture of quality and accountability. I am motivated to contribute my expertise to projects that require not just technical skill, but also strong organizational and leadership abilities to succeed.

Main technologies

  • AI, Data Engineering and General Development

    0 years

  • n8n

    1 Year

  • Data Engineering

    1 Year

  • Data Science

    1 Year

Additional skills

  • n8n
  • Data Engineering
  • Data Science
  • Machine Learning
  • Artificial Intelligence
  • PyTorch
  • Python
  • Optimization Modeling
  • Statistics
  • Web Scraping
  • Bioinformatics
  • Genomics
  • Pine Script
  • TradingView
  • AI Trading

Direct hire

Potentially possible

Previous Company

TRON-Mainz

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Experience Highlights

Mubind | Learning sequence-based regulatory dynamics in single-cells

Preprint: https://www.biorxiv.org/content/10.1101/2024.08.07.605876v1 Epigenomics assays, such as chromatin accessibility, reveal regulatory DNA factors (TFs); however, most models overlook the dynam

DarvasAI | TradingView indicator and website for weekly breakouts.

This product scans financial markets based on the Darvas weekly breakout strategy. It highlights high-quality stocks exhibiting weekly breakouts, helping traders identify high-reward-to-risk portfolio

Education

  • Universität Heidelberg, Germany EMBL Heidelberg

    Doctor of Philosophy (PhD) in Biology

    2015-01-01-2019-01-01

  • Pontifical Catholic University of Chile

    Master of Science (MS) in Biochemistry and Computer Science

    2008-01-01-2013-01-01

Languages

  • German (Conversational)
  • English (Native or Bilingual)
  • Spanish (Native or Bilingual)
  • French (Basic)
  • Russian (Basic)