Built around your outcome
Most chatbots just return pre-written answers. What I build is different — AI agents that understand a question, figure out what data they need, fetch it from your database or documents, and return a real, accurate answer.
Recent projects I've built:
— A Healthcare Data Analyst Chatbot where staff ask plain-English questions like "how many new patients this week?" and the agent writes the SQL, runs it against PostgreSQL, and returns the result with the query shown for transparency.
— A Career Bot that reads resumes using RAG, answers questions about them, and automatically generates personalized cover letters using Google Drive and Sheets APIs.
WHAT I DELIVER:
✔ Custom AI agent built with LangChain or LangGraph
✔ Natural language to SQL (if database querying is needed)
✔ RAG pipeline with ChromaDB or FAISS for document-based Q&A
✔ Integration with Gemini API or OpenAI API
✔ FastAPI backend with a clean chat endpoint
✔ Multi-step agent workflows and tool use
✔ Source code + documentation
WHAT I NEED FROM YOU:
— Description of what your agent should be able to do
— Access to your data source (database, documents, or API)
— Preferred LLM (Gemini or OpenAI — you provide the API key)
NOT INCLUDED:
— LLM API costs (you pay your own API usage)
— Model training or fine-tuning
Clear scope
Know the deliverables before work starts.
Direct collaboration
Stay aligned throughout the project.
Verified seller
Identity and payout details are checked.
From brief to launch
01
Choose
Pick the package matching your goal.
02
Collaborate
Share requirements and review progress.
03
Launch
Receive the final delivery and approve it.