Computer Science student focused on AI, systems, and open-source engineering. I like building projects that combine machine learning, algorithms, and real-world data, turning new ideas into working software.

• Developing machine learning models and experimentation pipelines
• Contributing to open-source software
• Studying core computer science fundamentals

Languages: Python • C++ • JavaScript Tools & Technologies: Git • Linux • Docker • Jupyter • NumPy • PyTorch Concepts: Machine Learning • Algorithms • Data Structures • Distributed Systems

Machine Learning: Experiments with predictive models and data analysis pipelines Systems / Tools: Developer utilities and algorithm implementations Open Source: Contributions and collaborative development work

Advanced Machine Learning • Operating Systems • Distributed Computing • Large-Scale Systems

Build intelligent systems combining machine learning with large-scale computing and contribute to impactful open-source projects.