Grand Central Dispatch (GCD), RXSWIFT, Graphql, Objective-c, Git, Uikit, Restful Apis, Swift, mobile security best practices, SwiftUI, Biometrics, Keychain, async/await, Combine

Sqlalchemy, AWS Cloudwatch, Prometheus, Elk Stack, Grafana, Redis, Rabbitmq, React, Git, Celery, Docker, FastAPI, Python, LangChain, AWS Bedrock, LangFuse, Codex, Claude Code, Locust, LangGraph, Next.js, Pydantic

retrieval-augmented generation (RAG), large language models (LLMs), Apis, Power Platform, software testing, Cloud Technologies, system integration, Azure, Python, software development practices, production support best practices, deployment automation, copilots, AI technologies, CI/CD, Azure AI services, intelligent agents, Copilot Studio

Apis, Gcp, Docker, Azure, Python, Sql, AWS, LLM systems

Api Integration, Python, Sql, Generative AI, Snowflake Cortex AI, Enterprise AI application development, Foundry SDKs, Azure AI

Cloud AI platforms (AWS SageMaker, Triton), Model serving infrastructure (vLLM, GCP Vertex AI), Python, Azure ML, TGI

snowflake , Amazon Web Services, Microservices, MLops, Docker, Terraform, Openshift, Microsoft Azure, FastAPI, Rest Apis, Data Integration, Python, Kubernetes, SQL APIs, Generative AI, DevOps practices, vector databases, Retrieval-Augmented Generation, CI/CD pipelines, AI observability, Large Language Models

Docker, Python, Kubernetes, MLOps practices, LLM orchestration frameworks, vector databases, RAG pipelines, prompt engineering

retrieval-augmented generation (RAG), Pytest, Testing, FastAPI, Python, LangChain, embeddings, API services, chunking strategies, LLM evaluations, vector databases, Packaging, LLM security, prompt engineering, LangGraph, privacy risks, type hints, CI/CD, async programming, LLM-as-judge regression testing, observability