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

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

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

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

Sql, Python, Machine Learning, Agents, Langchain, LLM techniques, Langgraph, RAG, prompt engineering, Generative AI

Distributed Computing, AWS, Kubernetes, Azure, Gcp, Docker, Api Development, LLMs, MLOps tools, ML architectures, integration and deployment workflows, CI CD pipelines, scalable model deployment

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

Deep Learning, Tensorflow, Numpy, Machine Learning, Pandas, AWS, Pytorch, Azure, Nlp, Generative AI, LLMs, Agents, Graph Analytics, Scikit-Learn, RAG