PostgreSQL, Restful Apis, RAG QA systems, pgvector, AI Feature Development, API Systems, Security, Vector Databases, semantic search, Full-stack Development, CI CD pipelines, Observability, AI Data Integration

Microsoft Azure, Python, LangGraph, multi-agent systems, RAG architecture, AI orchestration and agent frameworks, generative AI solutions, vector databases, LLM-based applications

BigQuery, Sql, Gcp, Python, Airflow, fine-tuning, MLOps engineering, LLM application development, classical ML predictive modeling, prompt engineering, RAG agents, dbt, AI ML systems

S3, AWS Glue, Lambda, MLops, Docker, Terraform, Kubernetes, Python, LangChain, AWS CDK, Step Functions, DocumentDB, Claude, Amazon SageMaker, EventBridge, OpenSearch, EKS, LangGraph, Llama, Amazon Bedrock, Titan, Kendra

Apis, MLops, Python, embeddings, RAG architecture, LLMs, LLMOps, backend services, vector databases

Python, Ocr, Document AI, LLM APIs, Orchestration frameworks, Vector databases, Cost Optimization, information extraction, Monitoring

MLops, Apis, Python, embeddings, RAG architecture, LLMs, LLMOps, vector databases, backend services

React, Machine Learning, Typescript, Python, web app development, Generative AI, Vector databases, multi-agent orchestration framework, RAG architectures, Llm

Sql, Git, Rest Apis, Python, RAG-based solutions, Tool Function Calling, Vector Search, Embeddings, GenAI applications, Vector Database, AI Agent, Prompt Engineering

BigQuery, Sql, Python, Gcp, Public Cloud, Deep Learning, ML systems, AI coding assistants, cloud data warehouse, classical ML, LLM-based tools