Machine Learning & Deep Learning

• Frameworks & Libraries: TensorFlow, Keras, Scikit-Learn
• Data Ecosystem: Pandas, NumPy, Matplotlib, Seaborn
• Core Competencies: Predictive modeling, deep learning architectures, vector search, and agentic AI systems
• Applied Concepts: Feature engineering, automated data ingestion workflows, model evaluation, and deployment

Programming & Version Control

• Languages: Python (Advanced application and scripting)
• Version Control: Git (Advanced branching, merging, and distributed workflows)
• Development Environments: PyCharm on Unix/macOS architectures

MLOps & Infrastructure

• Containerization & Orchestration: Docker, Kubernetes
• Pipeline Management: End-to-end MLOps lifecycle deployment
• Cloud & Search: Oracle Cloud Infrastructure (OCI)

Professional Certifications

• Oracle Agentic AI Certified Foundations Associate (2026)
• Oracle Cloud Infrastructure Generative AI Certified Professional
• Oracle AI Vector Search Certified Professional
• Oracle Cloud Infrastructure AI Foundations Associate