Introducing myself to the community here:
Have a background in mechanical + biomedical engineering. I am super interested in human movement. I played basketball/volleyball in highschool and college. I’ve always been curious of how to not only improve my athletic performance, but also track and measure it across time. That is what led me into the exciting world of data science/analytics, machine learning, and programming!
Exploring computer vision and deploying machine learning systems into a production environment. I have some experience with prototyping and working locally, but am ready to dive into the intricacies that come with having a production-ready deployment.
Love to learn and share what I learn with others. That’s why I have joined this wonderful community
Learning computer vision and statistical techniques that will help in my human movement analysis. One recent topic I’ve been trying to wrap my head around is Kalman Filters. They’re really cool and helpful when dealing with noisy and uncertainties in your sensors. You should check them out!
Open to chatting 1:1, collaborating on fun projects, and sharing awesome resources from the interwebs.
Connect with me on: LinkedIn
• FilterPy Documentation
• MLRun Documentation
• ZenML GitHub Page
What I listen to while working:
•Electronic music - progressive house, chill, synthwave
• Stranger Things
• Playing basketball, volleyball
• Impromptu music sessions with my brother
Here is a picture of me in my youth jumping really high (back in 2010). Very proud of this moment: