Databricks, Sql, Distributed Systems, Python, MongoDB, LLMs, RAG, prompt engineering

Scalability, Logging, Authentication, Cloud Infrastructure, AI inference costs, latency, Security, AI-assisted development tools, tracing, structured outputs, Reliability, AI agents, human handover workflows, RAG systems, multi-turn conversational workflows, LLM tool function calling, SQL databases, observability systems, backend APIs, queues, Caching, Authorization, automated regression tests, context management

Javascript, Python, RAG systems, LLM-based solutions, AI workflows, AI prompts

text classification , retrieval-augmented generation (RAG), named entity recognition (NER), Summarization, PostgreSQL, Nosql, Flask, Python, Sql, Redis, Django, FastAPI, MongoDB, LLMs, Pinecone, BM25, ETL pipelines, LangChain, fine-tuning, Transformers, real-time data integration, embedding models, prompt engineering, AutoGen, TF-IDF, hybrid search, FAISS, dense vector search, Weaviate

PostgreSQL, Node.js, Cursor, Redis, React, Typescript, Docker, Selenium, Python, AWS, Playwright, Anthropic APIs, LangGraph, GitHub Actions, Puppeteer, Next.js, RAG, OpenAI, Tool calling

vectorization , Tensorflow, Pytorch, Python, Generative AI, Evals, AI agent development, data preprocessing, vector databases, Weaviate, Hugging Face Transformers, AutoGen, CrewAI, Pinecone, FAISS, LangGraph