Computer Engineering Student | Applied Medicine | Data & ML Systems
I am a 3rd-year Computer Engineering student specializing in Applied Computer Engineering in Medicine. My background is rooted in rigorous software engineering—I've built everything from hardware integrations in C++ to multithreaded client-server applications in Java.
Why Data Engineering & Machine Learning?
While I love low-level system design, my true passion lies in healthcare technology and AI. Through my engineering thesis (developing an ML system for brain tumor classification), I began to realize that before AI can solve real-world problems, we need rock-solid, scalable data architectures. I am focusing my career on Data, ML and AI because it perfectly combines my love for complex system architecture, database design, and high-impact machine learning.
Tech Stack & Skills
Data & Backend: Python, Django, SQL, PostgreSQL, Pandas, NumPy
Core Engineering (OOP & Concurrency): Java, C++, C#, Multithreading, Algorithms
Systems & Low-Level: Assembly (x86 AT&T and '51), Bash, Linux, ESP-32 hardware integration
