data engineering , Agile Development Methodologies, Continuous Integration, Microservices, system integration, Microsoft Azure, AWS, Apis, MLops, CodeWhisperer, cloud-native solution development, Hugging Face, vector databases, AWS Developer CLI, Agentic AI solutions, agentic AI orchestration, AI-assisted coding tools, fine-tuning LLMs, AI ML frameworks, vibe coding environments, LangChain, DevOps practices, prompt engineering, GitHub Copilot, OpenAI, real-time data processing

Security Testing, LLM evaluation and assurance frameworks, AI audit tooling, Arize, Langfuse, model risk management, Responsible AI, AI ML systems, reliability engineering, Explainable AI libraries, AI red teaming, Galileo, PromptFoo, cloud platforms, SHAP, Python automation frameworks, Evidently, Fairlearn, PyRIT, DeepEval, Garak, adversarial testing, AI risks and governance principles, toxicity and bias scanners

data discovery , Aws Redshift, Data Lineage, Collibra, Metadata Management, Azure Synapse, AI Operating Model Design, Data quality frameworks, Cloud data platforms, Google BigQuery, Business glossary, Enterprise data catalog capabilities, MDM architecture, Alation, Data Operating Model Data Management, AI Governance Risk Management

Cloud Computing, Machine Learning, Data Visualization, Big Data, Python, Sql, Statistical Analysis, Deep Learning