.NET, Microservices, Python, AWS, Apis, Sql, Devops, Gcp, Azure, AI Agents, pgvector, MCP Server, AI Governance, Pinecone, Security, OpenSearch, Vector Databases, CrewAI, LangChain, LLMs, Semantic Kernel, AutoGen, Enterprise AI Architecture, FAISS, RAG, LlamaIndex

Microservices, Tensorflow, Pytorch, Docker, Azure, Kubernetes, Python, AWS, LangChain, enterprise search solutions, vector databases, LangGraph

Machine Learning, Apis, Neural Networks, Dynamo Db, Python Programming, Solution Architecture, Prompt tuning, AWS Bedrock, Prompt engineering, Similarity search using vector databases, Embedding generation, Presales GTM, Llm, Agentic AI, Claude LLMs, Document ingestion

API design, Distributed Systems, AI Platform architecture, Exposure to cloud ML tooling and MLOps practices, Reliability engineering, Building platform capabilities for AI ML or GenAI solutions

Data Modeling, ELT, MLops, Etl, LLM ecosystems, Generative AI, Enterprise data platforms, Data engineering fundamentals, AI ML lifecycle, Cloud ecosystems, Enterprise architecture patterns, API integrations, AIOps

Distributed Systems, Devops Tools, Kubernetes, data pipelines, AI evaluation frameworks, vector databases, governance frameworks, prompt engineering, MLOps practices, microservices architecture, enterprise AI platforms, CI CD pipelines, large-scale deployments, Responsible AI, AI ML systems

containerization , AWS, Kubernetes, Python, Azure, Orchestration, Docker, Large Language Models, AI ML frameworks, observability, DevOps practices, CI CD pipelines

.NET, Generative AI / LLMs, LangGraph / Agent Orchestration, Distributed Systems, Software Architecture, System Design, Microservices, Java, Node, AI Agents, Agentic AI, MCP, Event-Driven Architecture, Legacy Application Modernization

Microservices, Gcp, Azure, AWS, Order Management, Prompt engineering, Digital commerce platforms, Vector databases, Chatbots, REST API design, Merchandising workflows, GenAI LLM-based applications, semantic search, AI assistants, Workflow automation, Java Spring Boot, Cloud-native architecture

Machine Learning, Cloud Services, Databricks, Python, Pyspark, Data Pipeline, Data Analysis