Hi, I'm Javier Fernández
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Self-driven, quick starter, passionate programmer with a curious mind who enjoys developing and deploying AI models.
About
I am a an Industrial Engineering Grad Student working as a Data Scientist over the last few years. I enjoy problem-solving and developing complex applications that solve real-world problems impacting millions of users.
- Programming languages: Python, C, C++, C#, SQL
- Libraries and frameworks: PyTorch, Keras, Scikit-learn, Pandas, Spark, Hugging Face, Flask, MLServer
- Databases: Snowflake, MongoDB
- Environments: Conda, Pipenv, Poetry, Visual Studio Code, Git
- Operating systems: Mac OS X, Windows, Ubuntu
- Other: Docker, PowerBI, Unity, Latex, Pack Office
Looking for an opportunity to work in a challenging position related to a Data Science or ML Engineer position, which provides professional development, interesting experiences and personal growth.
Experience
-
E-commerce smart warehouse assistant for monitoring.
- Integration of AI-based recommendations.
- ML Server API architecture and development.
- CI/CD pipeline with GitHub action.
- Tools: Python, PyTorch, ML Server, Databricks, Docker, Azure DevOps, GitHub CI/CD
- Cross-subject EEG-based emotion recognition.
- Emotion-driven interactive storytelling.
- Optimizing lockdown policies for COVID-19.
- Studying the human perception perception-based color.
- Tools: Neuroscience, Affective computing, ALife, Interactive storytelling
- E-commerce smart warehouse assistant for monitoring.
- Personalized academic research paper recommendation system.
- Regression for number of pallets estimation.
- Unsupervised image anomaly detection.
- Tools: Python, SQL, Snowflake, Databricks, Data Factory, Azure DevOps, PowerBI, NLP, Forecasting
- Supervised ECG-based arrhythmia detection.
- Unsupervised anomaly detection for a turbine and a paper machine.
- SOTA models for EEG-based emotion classification systems.
- Combining EEG signals and deep learning for expert classification.
- Tools: Python, PyTorch, 1D CNN, 2D CNN, LSTM, XGBoost
articles
- Two Ways of Understanding Social Dynamics: Analyzing the Predictability of Emergence of Objects in Reddit r/place Dependent on Locality in Space and Time; AM Adams, J Fernandez, O Witkowski ; arXiv, 2022.
- Emotion-Driven Interactive Storytelling: Let Me Tell You How to Feel; OD Rico Garcia, J Fernandez Fernandez, R Andres Becerra, O Witkowski ; International Conference on Computational Intelligence in Music, Sound, Art and Design, 2022.
- Cross-subject EEG-based emotion recognition through neural networks with stratified normalization; J Fdez, N Guttenberg, O Witkowski, A Pasquali ; Frontiers in Neuroscience, 2021.
- Dynamic versus continuous interventions: Optimizing lockdown policies for COVID-19; Kaan Akinci, Javier Fdez, Elena Peña-Tapia, Olaf Witkowski ; MedRvix, 2021.
- Nonverbal Communication Assistance System Based on Body Recognition in the Field of Education; J Fdez, Michita Imai; International Journal of Machine Learning and Computing, 2019.
- Integrating 3D reconstruction and virtual reality: A new approach for immersive teleoperation; Francisco Navarro, Javier Fdez, Mario Garzón, Juan Jesús Roldán, Antonio Barrientos ; Iberian Robotics conference, 2017.
Education
Tokyo, Japan
Degree: Master of Science in Engineering
2017-2019
- Machine Learning
- Human-Robot Interaction
- Computer Vision
- Natural Language Processing
Relevant Courseworks:
Universidad Politécnica de Madrid (UPM)
Madrid, Spain
Degree: Bachelor and Master of Industrial Engineering
2012-2016 Bachelor, 2016-2019 Master
- Robotics
- Automation
- Electronics
- Mechanics of Fluids
- Heat
- Materials
- Management
Relevant Courseworks: