Ml, San, Pytorch, Al

Machine Learning, Deep Learning, Tensorflow, Numpy, Gcp, Pytorch, Pandas, Docker, Flask, Keras, FastAPI, Azure, Python, Kubernetes, AWS, Generative AI, LLM Fine-Tuning, Scikit-learn, Vector Databases, Hugging Face Ecosystem, RAG

Java, Rest Apis, Generative AI, AI evaluation methodologies, Python APIs, Prompt Management, Vector Databases, Agentic AI, Production-grade AI Agents, Multi-Agent Systems, AI ML technologies, Prompt Engineering, Data ingestion pipelines

Spark, Azure, Python, AWS, Airflow, cloud ML platforms, MLFlow

Distributed Systems, LangChain, agent orchestration frameworks, LLMs, ML platforms, embeddings pipelines, observability, RAG retrieval, cost controls, policy enforcement, LangGraph

snowflake , Tensorflow, Databricks, Sql, Natural Language Processing, Machine Learning, MLops, AWS, Pytorch, Artificial Intelligence, Python, Azure, Scikit-learn

Java, Test Automation, Golang, Automation Frameworks, Apis, Pytest, TestNG, JUnit, Restassured, Docker, Selenium, Rest Apis, Kubernetes, Python, JSON Validation, Playwright, Cloud-native Platforms, Cypress, AI ML System Testing, Backend Validation

Algorithms, Software Development, Testing, Software Design, Programming Languages, Debugging, data structures, ML infrastructure, Data Processing, model deployment, reinforcement learning, model evaluation, launching software products, Optimization

Apis, React, Angular, Node.js, AI-assisted development tools, AI-powered quality engineering practices, Claude, test automation frameworks, MCP servers, frontend frameworks, backend technologies, RAG-based agents, AWS AI ML services, AI ML backend services, Amazon SageMaker, AgentCore, LLM ecosystems, full-stack development, AWS Bedrock, Kiro, AI agent frameworks, prompt engineering, AI workflows, GitHub Copilot

Postman for API testing and validation, CI CD pipelines using Jenkins GitHub Actions or similar, UI automation using Playwright, AI evaluation techniques and automated output validation, API automation using REST Assured Java or Python Requests, Git and version control best practices, Testing AI ML or Generative AI applications