Curriculum Vitae

Core Competencies

  • PyTorch
  • TensorFlow
  • AWS
  • EKS
  • Azure
  • pandas
  • numpy
  • sklearn
  • GCP
  • SQL
  • Transformers
  • Kubernetes
  • CNNs
  • Docker
  • XGBoost
  • CI/CD
  • LightGBM
  • Python
  • Java
  • LangChain
  • Git
  • Llama-Index
  • Ruby
  • C
  • Bash
  • DICOM

Professional Experience

MLOps Engineer | Tenyks AI, Barcelona, Spain

February 2024 - Present

  • Maintaining and enhancing platform infrastructure using Flask, MongoDB, AWS Cognito, Celery, and AWS EKS
  • Led migration from self-managed GitLab runners to shared runners
  • Implemented Data Quality Check feature, improving datasets reliability in an automated way
  • Designed and implemented fine-tuned CLIP model, enhancing image retrieval precision for specific classes by over 30%
  • Help expanding user data sharing capabilities / Team features

Chief Technical Officer | Methinks AI, Barcelona, Spain

March 2016 - February 2024

  • Led development of AI-driven prototypes for ASPECTS scoring and lesion segmentation
  • Created tools for data visualization and DICOM routing
  • Achieved CE mark certification and led FDA cybersecurity certification processes
  • Managed team of 10 engineers and implemented pilot installations in major hospitals
  • Co-developed a Microsoft Teams app for real-time physician coordination
  • Co-authored a paper published in Stroke Journal on AI-driven neuro imaging analysis
  • Won two gold medals in Kaggle RSNA challenges for healthcare image-related tasks

Software Architect | Xing (New Work), Barcelona, Spain

2015 - 2016

Worked on internal tools team, enabling developers to use simplified platform in dockerized environment

Software Engineer / Founder | Chalk, Barcelona, Spain

2015 - 2017

Developed DFS product for Spanish market, inspired by DraftKings and FanDuel

Software Engineer / Product Owner | TomTom Telematics, Barcelona, Spain

2012 - 2015

  • Implemented embedded software for vehicle telemetry and geolocation using Java
  • Promoted to Product Owner, leading team of 5 and implementing agile processes
  • Coordinated with product line managers to create roadmap for embedded devices

Education

  • M.Sc. Management Business, ESADE (2014 - 2016)
  • PhD Candidate and Internship, Florida International University (2011)
  • M.Sc. Computer Science, Universidad Simón Bolívar, Venezuela (2009 - 2011)
  • B.Sc. Computer Science, Universidad Simón Bolívar, Venezuela (2004 - 2009, Magna Cum Laude)

Projects & Publications

  • Deep Learning Based Software to Identify Large Vessel Occlusion on Noncontrast Computed Tomography (AHA Stroke, 2020)
  • Coriolis: Scalable VM Clustering in Clouds (USENIX ICAC'13)
  • SoftPM: Software Persistent Memory (USENIX ATC'12)

Other Achievements

  • Two gold medals in Kaggle RSNA challenges for healthcare image-related tasks
  • EIC 2023 grant of EUR 2.5M with option to co-invest EUR 7.5M more

Certifications

  • Fundamentals of Reinforcement Learning (2023)
  • Deep Learning Specialization (2022)
  • Structuring Machine Learning Projects (2021)