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)