data engineering , Cloud Platforms (Azure, GCP), Large Language Models (LLMs), Machine Learning, Microservices, Software Development, Docker, Python, Sql, Deep Learning, Api Development, AWS, MLops, Data Analytics, Kubernetes, AI Governance, Vector Databases, AI Operations, Responsible AI Practices, semantic search, Generative AI, AI Agent Frameworks, Model Evaluation and Optimization, NoSQL Databases, CI/CD, Prompt Engineering

react.js , Git, Typescript, Node.js, Restful Apis, Microservices, Sql, AI code generation tools, CI CD pipelines, NoSQL databases

Java, Apis, Microservices, Typescript, Javascript, Debugging, Containers, Code Review, Python, AI Development Lifecycle, modernization, DevOps practices, Documentation, Go, cloud platforms, AI coding assistants, prompt engineering, Problem-solving, test generation, cloud transformation, refactoring, AI for code generation

Microsoft Azure, Python, Vector Databases, AI Machine Learning, Generative AI, Embeddings, Fine-Tuning, OpenAI, Prompt Engineering, Azure OpenAI

Java, Gcp, Docker, Spring Boot, J2EE, Rest Apis, Kubernetes, Microservices, AWS, CI CD pipelines, OWASP guidelines

Git, Docker, Azure, Python, Sql, AWS, LLM-based frameworks, AI agents

Ml, Github, Azure, GitHub Actions

Rest Apis, Solution Architecture, Azure DevOps, LangChain, GitHub Actions

FastAPI, Rest Apis, Aws Cloud, embeddings, AWS Bedrock, retrieval optimization, GenAI LLM applications, vector databases, Monitoring, Azure OpenAI, conversational AI solutions, performance optimization, AI evaluation, RAG pipelines, semantic search, Governance