About Me
I am a Master’s student in Advanced Computer Science with Artificial Intelligence, with a strong interest in building intelligent data-driven systems. My academic and project experience spans machine learning, natural language processing, data engineering, and software development, with a focus on applying theory to real-world problems.
What I’m Currently Working On
I am currently focused on strengthening my foundations in machine learning, data systems, and AI engineering while building applied projects that demonstrate practical problem-solving. Alongside my coursework, I actively work on hands-on projects involving data analysis, model evaluation, and AI-powered tools.
Academic & Technical Background
I hold a Bachelor’s degree in Computer Science and Engineering with a specialization in Artificial Intelligence and Machine Learning, and I am currently pursuing a Master’s degree in Advanced Computer Science with Artificial Intelligence.
Alongside my academic journey, I have gained practical exposure through internships and hands-on projects, working with technologies such as Python, C#, FastAPI, machine learning frameworks, and data processing tools. I have also completed professional certification courses to strengthen my foundations in computer science, mathematics, and AI-related concepts.
Experience Snapshot
My experience includes academic and industry-oriented projects, internship exposure in software and application development, and structured learning through globally recognized professional certification programs. These experiences have helped me develop a disciplined approach to problem-solving, collaboration, and continuous learning.
How I Approach Problems
I approach technical problems by first understanding the underlying data and constraints, then designing solutions that are both practical and scalable. I value clarity, structured thinking, and continuous learning, and I prefer building systems that are measurable, interpretable, and well-documented.
