AI Chatbot Development with Malahim Haseeb

Yes. I have built WhatsApp assistants with long term memory, task management, and document handling inside the chat. Latency gets tuned so replies feel instant.

I test retrieval before wiring the model and add evals after. Fallbacks route unanswered questions to a human instead of letting the bot guess.

Yes. I have built Discord assistants with the same memory and context patterns, plus the moderation and community tooling patterns that fit the server.

A single knowledge base chatbot is one kind of project, a multi channel assistant with memory is another. I scope first, then give you a timeline.

It depends on scope. A chatbot with a knowledge base is one kind of project, an agentic system with tool use and evaluation is another. I scope the first call before quoting, so you know what the build costs before anyone writes code.

I test retrieval before wiring the model. Chunking, embeddings, and search quality get checked against real questions before the LLM is ever asked. Then I add evals so accuracy is measured, not assumed.

Yes. I have worked with existing codebases and added AI features without breaking what was running. I read the code first, then design the AI layer around it.

I build fallbacks. Retrieval fallbacks, model fallbacks, confidence handling, and human escalation paths. An agent that loops forever or answers from the wrong context is a failure mode I design against.