Professional Skills Portfolio
Combining backend software engineering, cloud computing, and state-of-the-art AI research capabilities.
Technical Skills
🐍 Python (TensorFlow, PyTorch)
☁️ AWS (EC2, Lambda, IAM)
🌐 GCP (Google Login, Analytics)
🤖 Natural Language Processing (OpenAI)
🏷️ Roboflow Annotations
💻 Core OOP & Programming
🗄️ SQL & Databases
🌿 Git Version Control
Research Skills
📊 Data Analysis (Pandas, NumPy, Matplotlib)
⚙️ Machine Learning (Random Forest, XGBoost, KNN)
🧠 Deep Learning (CNN, ResNet50, UNet, GANs)
⚖️ Federated Learning & Privacy
🧪 Hyperparameter Tuning (Grid Search)
📚 Literature Review & Scientific Writing
🔬 Medical Image Processing
Teaching Domains & Expertise
Object-Oriented Programming (OOP)
Designing solid OOP architectures (C++/Python), teaching inheritance, polymorphism, and abstraction.
Cloud & Distributed Systems
Serverless compute with AWS Lambda, database access controls, parallel processing paradigms.
Applied Machine Learning
Supervising ML classification models for healthcare; pipeline optimization from cleaning to grid search.