Computer Science is super interesting
My dev interests are smooth operations, scaling, observability, System Design and Machine Learning.
- Studying for my master's degree in Data Science.
- Working with mostly opensource self-hosted tools
as R&D DevOps Engineer in the Telecom sector for a non-profit.
- Improving at Data Structures and Algorithms
- Better System Design skills
- Learning Go [If thats a goals of yours too I suggest starting from learning Go with TDD!] [-]
- A GCP certification
- Switching to Pytorch
- Working with impactful machine learning applications
- Delve into recommending systems
- A deeper understanding of GenAI
- CKA training - Mumshad Mannambeth on Coursera [-] (kindly paid by my company)
- An introduction to Statistical Learning - Springer [-] (suggested reading from the Statistical Learning exam in my masters)
- Applied Unsupervised Learning with Python [-] (clustering and dimensionality reduction)
- A Crash Course in Linux Networking - David Guyton [-] (helped me understand iptables)
- System Design vol.1 - Alex Xu from ByteByteGo [-] (cool real world system design case studies)
- ...