Closed valentina-buoro closed 7 months ago
Successfully tested ersilia using model eos3b5e 🎉
Successfully tested ersilia with docker. Initially, I got errors which I believe to be as a result of network issues. The tests went sucessfully after handling that.
Hello everyone, my name is Valentina Buoro, an outreachy 2024 applicant. I joined outreachy because of the opportunity that it presented in breaking barriers that I faced as a self-taught developer. I'd love to contribute to Ersilia because I believe my background and interests closely align with the goals of the project. I studied pharmacy at the university, but I've gone on to become a self-taught full time software developer because of my love for technology, as such contributing to Ersilia gives me the opportunity to combine my love for both healthcare and technology. I have independently learnt Python and have become proficient in it, especially as relates to data science. Also, I and some friends recently participated and won a hackathon in Artificial Intelligence for Healthcare organized by Autogon AI. In addition to that I am very eager and determined to learn all the information and skills that will be necessary for my successful contribution to Ersilia.
Working with Ersilia presents me with the opportunity to learn from, and work with experts in Artificial Intelligence and Machine learning, and I can’t state how exciting that is for me. This is why during the period of internship, I plan to work closely with my mentor, giving reports as frequently as required, participate in standups, and even pair-programming as often as I need to.
After the internship, I plan to continue pursuing a career in AI/ML, especially in healthcare. I also plan to continue to actively participate in Ersilia’s community, especially helping new contributors like me to AI/ML.
Hi @valentina-buoro just checking in. Are you stuck somewhere? I don't see any updates since a week, let me know if you would like to continue, or else we can close this issue.
Week 1 - Get to know the community
Week 2 - Get Familiar with Machine Learning for Chemistry
Week 3 - Validate a Model in the Wild
Week 4 - Prepare your final application