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

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

Machine Learning, Azure Data Factory, Tensorflow, Azure Machine Learning, MLops, Azure Databricks, Pytorch, Kubernetes, Python, Azure Synapse, Docker, Azure DevOps, MLflow, Microsoft Fabric, Scikit-learn, Cognitive Services, LLMOps, Azure OpenAI, Azure AI

.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

data engineering , Machine Learning, MLops, Python, Sql, Deep Learning

Oracle Cloud Infrastructure (OCI), Oracle ERP Cloud (Financials / SCM), Enterprise Architecture, Python, Sql, Oracle Fusion AI Agent Studio, Redwood UI extensions, AI/ML, Generative AI, Agentic AI, RAG, Llm

Java, Google Cloud Platform, Scala, Hipaa, Tensorflow, Pytorch, MLops, Microsoft Azure, Python, AWS, Healthcare IT standards, Scikit-learn, CI CD, AI ML concepts

MLops, Sql, Databricks, Python, Azure, Spark, LLMs, RAG, AI Agents, Azure OpenAI

Microservices, Typescript, Gcp, Javascript, Rest Apis, Azure, Python, AWS, LangChain, LLMs, Hugging Face, Claude, GPT, prompt engineering, OpenAI APIs, MLOps tooling, Llama, AI agents, OpenAI, LlamaIndex, RAG architectures