Java, S3, PostgreSQL, SQL Server, Spring Boot, Elastic Beanstalk, Azure Sql, Spring, Lambda, Git, Docker, MySQL, MongoDB, Oracle, AWS

data engineering , Github, Data Modeling, Distributed Systems, Python, AWS, Performance Tuning, Azure ML, Git, Gcp, Azure Cloud services, Azure, IoT Hub, Event Hub, AuthN, CI CD, Optimization, AuthZ, SQL databases, security best practices, NoSQL databases, cloud platforms, Stream Analytics, batch streaming pipelines, AI ML solution development

Java, Apis, Node.js, Microservices, Tensorflow, Gcp, Pytorch, MLops, Docker, Distributed Systems, Etl Tools, Azure, Kubernetes, Python, AWS, Airflow, feature stores, Hugging Face, MLflow, DVC, dbt, CI CD for ML

Java, Regression Testing, Python, cost latency monitoring, vector search, orchestration patterns, tool function calling, trace inspection, structured output generation, AI systems, context engineering, agent frameworks, AI-native developer tools, agentic workflows, MCP Model Context Protocol, evaluation systems, LLM application patterns, RAG, reranking, prompt design, observability

Python development, AWS, API design and versioning, containerized microservice-based architectures, DevOps practices, CI CD pipelines

Git, Typescript, Gcp, Docker, Python, AWS, Pinecone, PGVector, LangGraph, Mistral, FAISS, Mastra, Llama, Weaviate

Jenkins, conversational AI, n8n, agent evaluation frameworks, AI models, data infrastructure, Metabase, GitHub Actions, MCP Model Context Protocol, infrastructure-as-code, CI CD pipelines, voice AI, benchmarking methodologies

Nlp, AI principles, programming languages relevant to AI development, DevOps practices for AI, deep learning for computer vision, prompt engineering, machine learning models

Github, Git, React, Typescript, Javascript, Docker, Rest Apis, Python, Kubernetes, GitOps, ArgoCD