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

Google Apis, Sql, node.js, React, Gcp, Docker, Typescript, Rest Apis, Azure, Python, Kubernetes, AWS, prompt tuning, embeddings, LLM architecture, RAGs, FastAPIs

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

containerization , MLops, FastAPI, Python, LangChain, AWS Bedrock, LLMs, AI Agents, AI Observability, cloud-native deployments, CI CD, Azure AI Foundry, Semantic Kernel, AutoGen, LLM Evaluation, LangGraph, Vector Databases, RAG, MCP, OpenAI, Prompt Engineering

Tensorflow, Django, Azure Machine Learning, Pytorch, Sqs, Flask, PostgreSQL, S3, Azure Storage, Azure Logic Apps, Machine Learning, Azure Functions, AWS, FastAPI, Sns, Python, Azure, Ec2, Docker, Azure SQL Database, Azure Web Apps, Azure OpenAI, Amazon Bedrock, Delta Lake, Service Principals, Azure DevOps CI CD pipelines, AI ML Generative AI Development, Azure Key Vault, Scikit-learn, Generative AI

PostgreSQL, Node.js, Angular, Typescript, Docker, Azure, AWS, LangChain, RAG embeddings, LLMs, LangGraph, vector database

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

Data Manipulation, Git Hub, Pandas, Python Programming, Agentic AI solutions, automated deployment pipelines, database integrations, Langgraph, Data Analysis

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

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