event-driven architectures (Kafka or similar, cloud-native experience (GCP, Spring Boot, Microservices, concurrency, Reactjs, Performance Tuning, Rest Apis, Python, Azure, Java ecosystem, LLM-driven capabilities, Micro Frontends, GenAI architecture patterns, Embeddings and vector databases, RAG architectures, Agent frameworks and orchestration

Sql, Nosql, Gcp, MLops, Computer Vision, Docker, Flask, FastAPI, Python, AWS, agentic AI, Git workflows, reinforcement learning, Game AI Development, MCP’s tool calling, CI/CD

Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), Vector Databases (Pinecone), Large Language Models (LLMs), Databases, Python Programming, FastAPI, Restful Apis, LangChain, Tool function calling, Git workflows, Microservices architecture, Agentic AI systems, LangGraph, Security best practices, CI/CD pipelines, Webhooks, AI workflow orchestration engines, Prompt Engineering

Java, Spring Boot, Sql, Spring Cloud, Microservices, Nosql, Git, Gcp, Docker, Rest Apis, Azure, Kubernetes, AWS

data engineering , Data Warehousing, Databricks, Data Modeling, Azure, AWS, LLMs, enterprise data architecture, Microsoft Fabric, AI architecture

Large Language Models (LLMs), Pyspark, Apache Spark, Dimensional Modeling, Kafka, Sql, ELT, Apache Airflow, Git, Docker, Terraform, Data Warehousing, Databricks, Azure, Python, Kubernetes, AWS, Etl, Apache Iceberg, Generative AI, CI/CD pipelines, Delta Lake, Apache Hudi

S3, Lambda, Docker, Sqs, Sns, Kubernetes, Python, AWS, LLM evaluation and observability tooling, LangGraph, ETL optimization, Agentic AI LLM applications, RAG architectures

APIM, API design, Soap, Functions, Microservices, REST, Docker, Azure, Python, LangChain, Event-driven architecture, AKS, CI CD, LangGraph, App Service, AI Search

Api, Python, LangGraph, Langchain, Agentic AI, LLMs