Driven by a passion for computer science,

I continued the study building on my university education. Beginning with CS61A by UC Berkeley as the first course in CS, I continued to dive deeper into data structure and algorithms, hardware architecture, operating systems, programming languages theory and artificial intelligence. This ongoing journey continues to inspire me and fuels my passion for this field.

* Please note that my studies were completed using online resources, including MOOC platforms (Coursera, edX) and open courses provided by various universities. I am not affiliated with the academic institutions referenced herein.

Statically typed languages

Dynamically typed languages

Libraries and frameworks

Web development

Database

Systems and tools

Learning more about data structure and algorithms allows me to delve into how information is organized and processed efficiently. I have studied the theories of data structure and classical algorithms, including:

• UC Berkeley CS61B
• Algorithms (Part I, Part II) courses on Coursera (and the algs4 textbook / website)
• Algorithms Specialization on Coursera

In addition, I engage in regular practice to ensure a good level of proficiency and familiarity with multiple languages.

The complexities of hardware architecture provide valuable understanding of how computer components interact to drive systems. In this domain, I studied the CS61C course by UC Berkeley, concentrating on the internal organization and operation of digital computers.

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The Operating Systems Engineering course (MIT 6.1810, used to be 6.828, 6.S081) centers on the design and implementation of a minimalist version of Unix v6 (xv6). Adopting a "learning-by-doing" approach, the course guides participants through the integration of features into the xv6 operating system. This practical engagement in system-level programming offers an understanding of resource management in modern operating systems.

I am actively engaged in the dynamic and rapidly evolving field of artificial intelligence, focusing on advancements and their potential applications.

On the theory front, I have completed the following specializations on Coursera:

• Machine Learning Specialization
• Deep Learning Specialization
• Building AI Agents and Agentic Workflows Specialization

To stay current with recent developments, I learn from:

• UC Berkeley CS294 Agentic AI (my notes on GitHub)
• Stanford CS153 Frontier Systems
• Stanford CS25 Transformers United

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