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Rodrigo  Chavez Mulsa

Rodrigo Chavez Mulsa

Machine Learning Engineer

Technologie / Internet

Amsterdam, Amsterdam

Sociaal


Over Rodrigo Chavez Mulsa:

Experienced in Computer Vision, Natural Language Processing, and predictive modeling, I enjoy tackling complex problems and finding innovative solutions. I'm passionate about using data to drive business value and make a positive impact. I thrive in collaborative environments and am always eager to work with stakeholders to develop effective data-driven solutions.

Ervaring

Computer Vision and Machine Learning Specialist

3DUniversum

Nov 2021 – Aug 2022                               Amsterdam, Netherlands

• Researched a novel approach for a deepfake model by combining the state‐of‐the‐art in one‐shot face swap models (CNNs) with the attention in Transformer Vision models (ViT). The model is capable of swapping the faces of two individuals in a variety of situations.

 

Data Science Research Intern

Visma Connect V.B.

 August 2018 – August 2020                      Heerlen/The Hague, Netherlands

  • Performed research to evaluate and mitigate gender bias in the Dutch contextualized word embeddings like BERTje, and analyzed the performance in downstream tasks leading to the publication of my thesis.
  • Developed a data capture solution that uses optical character and named entity recognition technologies to automate the retrieval of key data from contracts, removing the need for people to manually enter them into the system. (OCR & NER).
  • Analyzed the data from an external client and developed a model to forecast tenant departure date. I was responsible for feature selection, model validation, and hyperparameter tuning using gradient boosting trees.

Data Engineer Intern

Blockformer

June 2018 – August 2018                          Maastricht, Netherlands

  • Created a data pipeline to automate the data collection across multiple online sources using Python, JavaScript, and SQL.
  • Identified new external data sources to supplement the company data.
  • Effectively mined unstructured data and categorized it using sentiment analysis.

Opleiding

  • MSc Artificial Intelligence 
    • University of Amsterdam
    •  Amsterdam, Netherlands BSc
  •  (Hons) Data Science & Artificial Intelligence 
    • Maastricht University 
    • Maastricht, Netherlands 
  • BSc  (Hons) Creative Media and Game Technologies 
    • Saxion University of Applied Sciences (Unfinished)
    •  Enschede, Netherlands

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