Pytest, Json, Angular, Javascript, Bootstrap, Etl Tools, Python, CSS, Sql, Devops, Git, Html5, Xml, release management and bug tracking tools, model-centric regression testing, Swagger UI, R, automated metrics validation, ML-specific API testing, debugging tools Fiddler, data validation frameworks, ML-oriented data pipeline tools, AI governance framework, API testing using Postman, Azure cloud infrastructure, testing lineage reproducibility

Pytorch, Keras, Sql, Hive, Tensorflow, Python Programming, Spark, Scikit-learn, machine learning techniques, AI ML solutions

Python, API design, Orchestration, tool calling, planning, explainability requirements, output parsing, parallel tool execution, stateful workflows, contextual compression, agent orchestration, query decomposition, context management, evaluation and testing frameworks for LLM-powered applications, search conversational AI, RAG patterns, multi-index routing, model governance, agentic architectures, cost token management, LLM capabilities and limitations, AWS cloud services, microservices architecture, prompt engineering, workflow automation, retrieval systems

data engineering , Technical Leadership, Pytorch, Pandas, Deep Learning, Numpy, MLops, Azure, python, langchain, model deployment, embeddings, production integration, model serving, model optimization, retrieval-augmented generation, vector search, data pipelines, langgraph, agentic ai, model evaluation, Mentoring, prompt engineering, pipeline architecture

Python Programming, Databricks, Agent Frameworks Libraries, Prompt engineering

cloud platform , Artificial Intelligence - BASIC, Generative AI - Basic, Machine Learning, AI-Generative AI, Technology, AI-Data science, AWS Data Analytics

Python, vector stores, data pipeline development, retrieval strategies, re-ranking, multi-step agent workflows, embedding models, prompt engineering, RAG architectures