Fabio Colella
Full Stack Developer at Min Doktor- Claim this Profile
Click to upgrade to our gold package
for the full feature experience.
-
English Full professional proficiency
-
Italian Native or bilingual proficiency
-
Finnish Elementary proficiency
-
Swedish Elementary proficiency
-
Latin Elementary proficiency
-
Sardinian Elementary proficiency
-
Ligurian (Tabarchino of San Pietro Island) Elementary proficiency
Topline Score
Bio
Pedram Daee
Fabio has a strong knowledge of machine learning models and also the necessary technical skills to implement and deploy them. During his master thesis, Fabio designed an interactive machine learning system based on Gaussian processes, implemented a web application with a novel user interface for interacting with the model, and conducted user experiments on the system. His work resulted in a publication in a good quality conference. Fabio's diverse theoretical and technical knowledge and his willingness to learn new things make him a perfect fit to most positions.
Pedram Daee
Fabio has a strong knowledge of machine learning models and also the necessary technical skills to implement and deploy them. During his master thesis, Fabio designed an interactive machine learning system based on Gaussian processes, implemented a web application with a novel user interface for interacting with the model, and conducted user experiments on the system. His work resulted in a publication in a good quality conference. Fabio's diverse theoretical and technical knowledge and his willingness to learn new things make him a perfect fit to most positions.
Pedram Daee
Fabio has a strong knowledge of machine learning models and also the necessary technical skills to implement and deploy them. During his master thesis, Fabio designed an interactive machine learning system based on Gaussian processes, implemented a web application with a novel user interface for interacting with the model, and conducted user experiments on the system. His work resulted in a publication in a good quality conference. Fabio's diverse theoretical and technical knowledge and his willingness to learn new things make him a perfect fit to most positions.
Pedram Daee
Fabio has a strong knowledge of machine learning models and also the necessary technical skills to implement and deploy them. During his master thesis, Fabio designed an interactive machine learning system based on Gaussian processes, implemented a web application with a novel user interface for interacting with the model, and conducted user experiments on the system. His work resulted in a publication in a good quality conference. Fabio's diverse theoretical and technical knowledge and his willingness to learn new things make him a perfect fit to most positions.
Credentials
-
Full Stack Open 2020: 9 ECTS, Grade 5
University of HelsinkiMar, 2021- Nov, 2024 -
Full Stack Open CI/CD 2020: 1 ECTS , Grade 5
University of HelsinkiMar, 2021- Nov, 2024 -
Full Stack Open React Native 2020: 2 ECTS, Grade 5
University of HelsinkiMar, 2021- Nov, 2024
Experience
-
Min Doktor
-
Sweden
-
Medical Practices
-
100 - 200 Employee
-
Full Stack Developer
-
Sep 2021 - Present
-
-
-
Aalto University Department of Computer Science
-
Finland
-
Research Services
-
1 - 100 Employee
-
Research Assistant (Web Dev, interactive ML, User Research)
-
Jun 2018 - Jan 2020
I developed a web-based application for user studies, planned research methods, conducted user studies and analysed the gathered data. I studied the behaviour of users interacting with an AI agent to reach a common goal in a cooperative task.Try the (serverless) app and interact with the AI: https://fcole90.github.io/interactive_bayesian_optimization/We published a paper on this work at ACM UMAP 2020, and I presented it at the conference (online). The work was done within the White-Boxed AI team in the Probabilistic Machine Learning group of Aalto University, under the supervision of Professor Samuel Kaski and Doctoral student Pedram Daee.---- Developed a web-based application for user studies, planned research methods, conducted user studies and analysed the gathered data, in order to study the behaviour of users interacting with an AI agent- Backend: light API backend in Flask, interacting with Python libraries that power the AI agent of this app- Frontend: Javascript web app for the user interaction study, including minimal libraries for numerical computation and for plotting, mimicking Python libraries with similar functionalities - Published a paper at ACM UMAP 2020 and presented the research and discussed results and implications at the conference> Link: https://fcole90.github.io/interactive_bayesian_optimization- Developed a light serverless public demo of the application employing a modified backend, implemented as web worker running Python code throughout a Python/WASM interpreter (Pyodide)> Link: https://fcole90.github.io/interactive_bayesian_optimization/demo.html Show less
-
-
Research Assistant
-
Feb 2018 - May 2018
Developed a multi-thread Python library for probabilistic inference, with a fast Python extension in C, obtaining a speed increment of about 50 times for each thread, compared to the original solution. Job done as part of the Honours Programme in Computer Science.
-
-
Research Assistant
-
Oct 2017 - Jan 2018
Developed a Python system for DNA methylation analysis with support for common DNA file-formats and automatic reporting, using Python libraries like pandas and matplotlib. Job done as part of the Honours Programme in Computer Science.
-
-
Education
-
2017 - 2021
Aalto University
Master of Science - MS, Computer, Communication and Information Sciences -
2013 - 2016
Università degli Studi di Cagliari
Bachelor of Science - BS, Computer Science
Community
