Welcome to my Professional Development Diary!
This repository is a log diary where I document every step of my learning journey. It encapsulates the knowledge I gain, and the milestones I achieve along the way. I try to explore topics I am curious about, learn new skills, and possibly even discover new passions.
I hope this repository will not only serve as a chronicle of my personal and professional evolution but also inspire others to embrace learning and growth amidst life's transitions.
- Startup Science - Entries documenting my learnings on how to build a successful startup.
- AI Engineering - I learned how to build, deploy, and scale AI models in production by completing the IBM AI Engineering Professional Certificate and more advanced and practical topics, such as Quantization.
- MIT 6.034 Artificial Intelligence Course - This course covers a wide range of topics in AI, including search algorithms, neural networks, genetic algorithms.
- Machine Learning - I had some prior experience in Machine Learning, but I wanted to learn more about the field and gain hands-on experience in building and deploying models as well as understanding the underlying math and theory. If you're interested in a Summary, you can find it here
- Modern C++ - Refreshing my C++ knowledge, learning about the latest features in C++20, best practices, and industry standards in modern C++ development.
- Ruby - Ruby's syntax, features, and best practices.
- Clouds - Entries documenting my learnings on cloud technologies, architecture, and engineering. I learned key points for GCP Cloud Core Structure and Scalings. The folder also contains related certifications gained during the learning process.
- Android Development - I began this journey with no prior experience in Android development and over a few weeks learned Jetpack Compose, Room, Coroutines, LiveData, view binding, MVVM architecture, and how to build a modern Android app. If you're interested in a summary, you can find it here
- Semster 5 Activities - Topics include MLOps, Kubernetes, Go, WebAssembly, web development, refining Java skills, and Mathematics for Machine Learning.
Note: The notes in this repository are primarily designed for my personal use, to refresh my memory. Apologies if they seem not to be intact or fully polished in some cases.