Are you looking to create a smart AI assistant that can search your data, answer complex queries, and integrate seamlessly into your app or website?
I specialize in building end-to-end Retrieval-Augmented Generation (RAG) solutions using LangChain, OpenAI, vector databases, and custom LLM models combined with my 5+ years of full-stack & cross-platform development experience.
What can I do for you:
- RAG-powered AI apps that can search PDFs, docs, websites, or databases
- LangChain pipelines for AI-powered workflows
- Custom LLM integration (OpenAI, Anthropic, local LLMs like LLaMA, Gemma)
- Vector database setup (Pinecone, Weaviate, Milvus, Chroma, Qdrant)
- Cross-platform deployment (Web, iOS, Android)
- Custom APIs for AI assistants
- Fine-tuning or embedding optimization
Tech Stack:
- Backend: Python (FastAPI, Flask), Node.js, Laravel
- AI: LangChain, OpenAI API, TensorFlow, custom ML models
- Databases: Pinecone, Chroma, PostgreSQL, MongoDB
- Frontend/Mobile: React.js, Vue.js, React Native
Why work with me?
- Proven track record in AI + full-stack development
- Experience in cross-platform apps & AI model deployment
- Delivered projects for US, UK, and global clients
Lets build your AI-powered solution to