- Mocap Lab: I carry out assessments of passive exoskeletons using EMG and Motion Capture.
- App Development: I participate in developing and improving a markerless motion capture app for ergonomic analysis.
- Data Modeling: I explore, clean, and model data from the markerless motion app to uncover insights that guide business decisions.
Tools: Python, Git, Github, Mocap (Xsens), EMG (Delsys), Pose Estimation, MySQL, MongoDB, CRISP-DM Framework.
- Consulting and Analysis: I provided advice and conducted small-scale data analyses in biomechanics and human movement, focusing on Python and data visualization.
- Writting: I wrote articles for tech companies, making complex concepts accessible to a broader audience.
Tools: Python, Inkscape, Latex (Overleaf), ChatGPT.
- Data Retrieval: I built a CLI tool to retrieve flight data from an Airbus API.
- Skill Matching: I developed a CV parser with Python and Neo4j to link candidate skills to job requirements.
- Fuel Analysis: I created a Python-Spotfire dashboard for analyzing flight fuel consumption trends.
- Code Property Graph: I used Joern and Neo4j to create code property graphs to allow developers to better detect loopholes in their code base.
Tools: Python, Git, Gitlab, Spotfire, Graph DB (Neo4j), Joern.
- Control Modes: I researched upper-limb exoskeleton interactions, focusing on user adaptation in transparent and antigravity modes.
- Metrics Development: I developed metrics to evaluate interaction quality and contributed to exoskeleton design improvements.
- Publication: I published findings that supported advancements in optimal control models and exoskeleton research.
Tools: Python, Mocap (Qualisys), EMG (Cometa, Biometrics), Matlab, Inkscape, Latex (MikTex).