Cloud platforms (AWS), Networking, Databases, Git, Memory Management, Linux, System Design, RESTful API development, Python, Multi-threading, Building data pipelines, AI and ML concepts, Vector databases, Hugging Face, Performance aspects of common classes and algorithms, Prompt engineering techniques, LLM APIs, GenAI solutions, Embedding models, CI/CD, LLM frameworks, RAG technologies, I/O concepts

Python, Sql, Cloud Storage, Typescript, React, AWS, Docker, Rest Api, Google Cloud Platform, Cloud Run, Firestore, Fast API, Big Query

Api Development, Node.js, Sql, Nosql, Typescript, Gcp, Docker, Postgres, Azure, Python, Kubernetes, AWS, DevOps practices, RESTful principles, Server-side caching mechanisms, Microservices architecture, Data processing pipelines, CI/CD pipelines, Agentic AI MCP and agent orchestrations

Microservices, AWS, FastAPI, Python, prompt engineering, LLMs, RAG architecture, vector databases, Amazon Bedrock, embeddings, semantic search, Generative AI, LangGraph

Apis, Microservices, FastAPI, Python, AWS, Generative AI, RAG architecture, LLMs, vector databases, prompt engineering, LangGraph, Amazon Bedrock, semantic search

Java, Unit Testing, Spring Boot, Cursor, Sql, Microservices, Nosql, Git, Gcp, Rest Apis, Azure, AWS, Windsurf

python, generative ai, gen ai, copilot