google drive , snowflake , Unit Testing, Regression Testing, Cursor, Typescript, Debugging, Python, Data Transformation, Data Modelling, Sql, Slack, System Design, Rest Apis, AI application architecture, experimentation tooling, Claude, dbt, guardrails, observability, modern LLM technologies, prompt iteration, AI evaluation frameworks, Monitoring, CI/CD, Data Flow

Github, PostgreSQL, SQL Server, Sql, Numpy, Pandas, Docker, FastAPI, Cosmos DB, Python, Azure DevOps, LangChain, Microsoft 365 Graph, Azure OpenAI, Azure AI Foundry, Semantic Kernel, LangGraph, MCP Model Context Protocol, Microsoft Teams bot development, Azure AI Search, LlamaIndex

Python, AWS, structured prompting, model routing, prompt versioning, LangGraph, CI/CD pipelines, few-shot patterns, hosting decisions, guardrails, RAG pipelines, LLM-powered products, evals

AI orchestration frameworks (LangChain, Infrastructure as Code (IaC), LangGraph), Servicenow, Terraform, RAG vector databases, Cloud infrastructure deployment pipelines, Rego policies, PagerDuty, Agentic models, LLM APIs, Open Policy Agent, Atlassian Suite

Python, AWS, 3D reconstruction from 2D images, medical devices regulated documentation, fine-tuning models

Aws Lambda, Rest Apis, Python, LLM applications, Amazon Bedrock, AWS SageMaker, Vector Databases, LLM optimization techniques, LangChain, Embedding Models, MLOps practices, Agentic AI, microservices architecture, prompt engineering, Generative AI, model deployment strategies, AI Agents RAG pipelines, LangGraph

Json, Docker, Terraform, Distributed Systems, Gitlab, Python, Authentication, AWS, Oauth, Jenkins, AWS IAM, Rest Apis, Asynchronous programming, Kubernetes, embeddings, vector search, SAM, Entra ID, AWS CDK, AI GenAI applications, Azure RBAC, GitHub Actions, LLMs, serverless development, prompt engineering, RAG, AI agents, CI/CD, AWS Secrets Manager, Amazon Bedrock, OIDC