Api Development, React, Python, LangChain, Anthropic, Pinecone, PGVector, prompt engineering, LangGraph, Chroma, OpenAI, Gemini, RAG architectures

data engineering , Java, Typescript, Javascript, Microservices, Python, ML platforms, machine learning systems, full-stack engineering, event-driven architectures

Python development, AWS, API design and versioning, containerized microservice-based architectures, DevOps practices, CI CD pipelines

Apis, Random Forest, XGBoost, Python, LangChain, embeddings, LLMs, n8n, Pinecone, Vector DBs, Semantic Kernel, Chroma, FAISS, RAG, LlamaIndex, Prompt Engineering

Data Modeling, Docker, Python, Processing Techniques, Full Stack Technologies, SageMaker Studio, Generative AI, System Architectures, AWS Cloud Services, Next.JS, Prompt Engineering

FastAPI, Python, CrewAI, Google, pgvector, Qdrant, Anthropic, Pinecone, AutoGen, LangGraph, LLM APIs, Chroma, Qwen, Mistral, Llama, OpenAI, Weaviate, LlamaIndex

Machine Learning, Tensorflow, Nlp, Pytorch, Python, embeddings, scikit-learn, vector databases, model serving infrastructure, retrieval systems, SageMaker, Vertex AI, LLM integrations, BentoML, applied AI

Restful Apis, Python, GenAI applications, embedding-based search pipelines, Java Spring Boot, JSON data structures, prompt engineering

Reactjs, FastAPI, Python, LLM optimization, embeddings, LLM pipelines, Prompt engineering, AI Agents, DevOps practices, cloud platforms, vector databases, Multi-agent orchestration frameworks, RAG architectures