Microservices, Rest Apis, Python, LangChain, Cloud-based application development, Generative AI, AI Agents, LLMs, LangGraph, Vector Databases, RAG, Prompt Engineering

Python, AWS, Azure AI Services, R, R Shiny

Pytorch, Python, AWS, GenAI, Agentic AI, Vector DB, MCP Server, RAG, Llm, EKS

scalable architecture , Machine Learning, Artificial Intelligence, Sql, Nosql, Nlp, System Design, FastAPI, Python, Generative AI, LLMs, LangGraph, RAG pipelines

Sql, Django, REST, Flask, Swagger, Postgres, Redis, FastAPI, Kubernetes, Python, Azure, Restful Apis, attention tokens, context window, AIML, Core AI, LLM behavior, data processing pipelines, MCP, RAG, automation testing frameworks, operational monitoring, Llm, Transformers, OpenAPI, model evaluation procedures, MCP Model Context Protocol, observability, FastMCP, Docket

Python Programming, Generative AI tools and frameworks, Cloud-based machine learning environments, Databases and data pipelines, MLOps tooling

structured programming , Github, Numpy, Pandas, AWS, multithreading, Python, LLMs, AWS AI ML services, CI CD, API integrations, LangChain, Agentic AI, Llama Index, Generative AI

Ml, Microservices, AWS, Python, Azure, Data Privacy, Gcp, Apis, prompt engineering, LLMs, AI ML frameworks, DevOps workflows, OpenAI ChatGPT, Ai, cloud platforms, security fundamentals, compliance standards, MLOps practices, CI CD pipelines, Anthropic Claude, Generative AI

Data Pipeline Development, Creating executive dashboards for GenAI insights usage performance cost reliability, Knowledge of MLOps AIOps model monitoring and AI observability frameworks, Analytics Dashboarding BI, Experience supporting Generative AI Machine Learning or AI platform initiatives, Relevant cloud certifications Azure Data Engineer Databricks Snowflake, Building scalable batch and streaming pipelines for GenAI data telemetry usage model outputs