Hi there, I'm Sheyda 👋

AI/ML enthusiast turning research curiosity into practical, working systems

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👩‍💻 About Me

🎓 B.Sc. in Computer Science · M.Sc. Student in Computer Engineering

I focus on building and evaluating machine learning systems — not just training models, but understanding when and why an architecture is the right choice for the problem and data at hand.

My recent work spans speech & audio classification, comparative architecture studies (CNN vs. attention-based models), and applied deep learning experiments — with an emphasis on honest evaluation: cross-validation, confusion matrices, and significance testing over cherry-picked metrics.

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🧠 Areas of Interest

Core Machine Learning & Deep Learning Reinforcement Learning Computer Vision Speech & Audio Processing Natural Language Processing

Applied Data Science Cybersecurity Analytics Explainable AI (XAI) MLOps

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🛠️ Tech Stack

Languages

ML / DL Frameworks

Data & Vision

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📚 Currently Learning

• 🤖 Large Language Models (LLMs)
• ⚙️ MLOps — moving models from notebook to production
• 🧬 Advanced Deep Learning architectures
• ���� Explainable AI (XAI)

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🎯 What I'm Working Toward

I want to build intelligent systems that are not just accurate, but understood — where every architectural decision is backed by a clear, defensible evaluation. That mindset shapes how I approach every project: rigorous comparisons, transparent reporting of what worked and what didn't, and a continuous effort to sharpen both my ML intuition and engineering practice.

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⭐ Thanks for stopping by — feel free to explore my repositories below!