Databases, Java, Rust, Distributed Systems, Scala, Storage Systems, Python, Go

S3, Ffmpeg, PostgreSQL, API design, Typescript, Celery, Docker, Nestjs, Python, Logging, R2, Express, Node.js, Redis, Django, FastAPI, auth, Go, LLM image video model APIs, Temporal, GCS-style storage, BullMQ, observability, Embeddings vector search, AI workflow systems

queuing , Golang, Dynamodb, Redis, Elasticsearch, MongoDB, AWS, LLM Infra, NoSQL databases, Production Scale Experience, Go, Ai, OpenSearch, Rate limiting, Distributed systems fundamentals

Python, CrewAI, LangChain, chain-of-thought reasoning, vector databases, embedding models, Anthropic, Azure OpenAI, prompt engineering, LangGraph, AutoGen, LLM APIs, OpenAI, tool-use patterns, Haystack, RAG architectures

Databases, React, Git, Javascript, Apis, Node.js, Cloud deployment, React Native, Flutter, Production Systems

Apis, Distributed Systems, Cloud Infrastructure, Python, LLMs, workflow automation, RAG pipelines, AI frameworks, Agents

tokenization , Mern Stack, Typescript, Javascript, Docker, Db Design, embeddings, AI orchestration frameworks, K8S, async pipelines, chunking strategies, vector databases, prompting trade-offs, CI CD, inference economics, RAG pipelines, quantization, AI SDK, LangChain, fine-tuning, infra-as-code, Caching, scalable backend systems, queues, attention, retrieval evals, LlamaIndex

Distributed Systems, Python, Backend Engineering, Firebase, Gcp, embeddings, pgvector, Qdrant, vector databases, Pinecone, LangGraph, modern AI tooling, CrewAI, LangChain, LLMs, Anthropic, prompt engineering, AutoGen, RAG, AI agents, OpenAI, Weaviate, Gemini, LlamaIndex

multi-agent systems, distributed systems fundamentals, retrieval RAG context engineering, production LLM GenAI systems, inference abstractions, production APIs, model routing, AI evaluation observability feedback systems, agent runtimes, backend engineering in Python