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I will build a custom ai telegram bot with llm reasoning and real API integration

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ahmad_988
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ahmad_988
Ahmad H

About this gig

Are you looking for a custom AI Telegram bot that actually understands natural language not just keyword commands?


I build production-ready AI bots powered by real LLM reasoning (Groq LLaMA, OpenAI GPT), external API integrations, and persistent memory. My bots don't just reply they reason, call tools, and remember.


What makes my bots different:

- LLM reasoning with tool calling the bot thinks before it responds

- Real API integrations nutrition data, weather, databases, your custom API

- Persistent per-user memory every user gets isolated, private data storage

- Multi-user architecture built for real products, not just personal scripts

- Dockerized deployment runs anywhere with one command


I'm an AI/NLP researcher and Master's student at Harbin Institute of Technology, Shenzhen. I've built and deployed BulkMate a multi-user AI nutrition agent with LLM tool calling, USDA API integration, SQLite memory, and Docker deployment.


Watch it live: https://www.loom.com/share/a2ff9ef6969b4446baa04fd46d6a024b


What you get:

- Clean, modular Python code

- Full source code

- Setup documentation

- Deployment instructions


Message me before ordering to discuss your specific requirements

Get to know Ahmad H

Ahmad H

AI and ML Engineer specializing in Python LLM Telegram Bots and RAG Systems

4.9(104)
  • FromPakistan
  • Member sinceJan 2021
  • Last delivery1 year
  • Languages

    Urdu, Hindi, English, Chinese
Hi, my name is Ahmad Hasan. AI/ML engineer & Master's student in NLP at Harbin Institute of Technology, Shenzhen. I build production-ready AI systems — Telegram bots powered by LLMs, RAG document retrieval APIs, and custom AI agents with tool calling and persistent memory. My projects are Dockerized, modular, and built with real API integrations (Groq, USDA, OpenAI). Multi-user support included. Not tutorial copies — real systems that solve real problems and can be handed directly to clients.

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