Api Development, Node.js, Sql, Nosql, Typescript, Docker, Postgres, Kubernetes, Python, DevOps practices, RESTful principles, Server-side caching mechanisms, Microservices architecture, Data processing pipelines, Agentic AI MCP and agent orchestrations

Deep Learning, Python, AI tools, Agentic AI, OpenAI, Generative models

Tensorflow, Typescript, Pytorch, XGBoost, Python, embeddings, knowledge graphs, scikit-learn, LightGBM, vector caching, vector databases, graph networks, AI agents, CatBoost, agent orchestration

bedrock , AWS, Python, Tensorflow, Pytorch, "AI/ML", GenAI, "AI Engineer", ML Engineer", Nova, LLMs, RAG, LangChain, "Hugging Face", "Vertex AI", "Azure AI"

python, Git, Docker, Kubernetes, GenAI, ci/cd

Machine Learning, Node.js, Tensorflow, MLops, Pytorch, Flask, Agile Methodologies, FastAPI, Python, vector search, embeddings, Generative AI, Scikit-learn, text summarization, intent detection, Milvus, NLP techniques, semantic search, entity recognition

.Net Core, Backend .NET, Automated Testing, Azure Functions, App Services, Azure DevOps, Deployment strategies, Messaging Eventing Kafka, Cloud Microsoft Azure, Frontend ReactJS, Databases Microsoft SQL Server, Azure Monitor, Caching Redis