Retrieval-Augmented Generation (RAG), Api, Python, Microservices, LangGraph, Langchain, Agentic AI, LLMs, multi-agent workflows, backend services, orchestration pipelines

Neo4j, Python, embeddings, AgentCore, AWS Bedrock, knowledge graphs, re-ranking, chunking strategy, prompt-library version-management, Veeva Vault, prompt engineering, RAG engineering, LangGraph, vector stores, VQL, Vault REST API, grounding

Automated Testing, Microservices, Angular, React, Flask, Microsoft Azure, Python, Cybersecurity, Django, Databricks, Data Privacy, FastAPI, Restful Apis, vector databases, Claude, ChatGPT, AI model evaluation, Next.js, OpenAI APIs, observability, fine-tuning, Anthropic APIs, Regulatory Compliance, AI governance

Gcp, Docker, Rest Apis, Azure, Python, AWS, LLMs, LangChain, RAG architecture, vector databases, Agentic AI, microservices architecture, LlamaIndex

LangChain

Machine Learning (ML), Artificial Intelligence (AI), Hadoop, Pyspark, Autosys, Sql, Angular, React, Spark, Python, Data Architecture, Metadata Management, DevOps practices, Flink, Copilot AI tool, Distributed data processing, Model context, Platform modernization, Performance optimization, Production support models, CI/CD pipelines, Agentic frameworks and flows, Enterprise controls, Data quality frameworks, Generative AI models, Protocol MCP

triton , Docker, FastAPI, Restful Apis, Python, Kubernetes, Nosql, Pytorch, Big Data, Sagemaker, document databases, TensorRT, ML technologies

Machine Learning, Data Analytics, Python, Deep Learning, LLM-based workflows

Pyspark, Apache Spark, Data Warehousing, Kafka, Dimensional Modeling, Sql, ELT, Apache Airflow, Git, Gcp, Terraform, Docker, Databricks, Azure, Python, Kubernetes, AWS, Etl, Apache Iceberg, Generative AI, Delta Lake, Apache Hudi, Large Language Models