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Tameemkharbey/README.md

Hi, I'm Muhammad Tameem 👋

AI/ML Engineer focused on building speech and language AI for low-resource languages — Pashto and Dari.

What I Build

  • Speech AI — Fine-tuned Whisper (STT) and VITS2 (TTS) for Pashto & Dari, trained on 1.5M+ audio samples

    • RAG Systems — Fully local LLM pipelines using LLaMA 3, FAISS, and LangChain

      • Production AI Agents — Serverless, auto-scaling deployments on Modal Cloud

      Featured Projects

      Project Description Stack
      pashto-dari-stt-tts STT + TTS for Pashto & Dari — WER 12.29%, deployed on Modal PyTorch, Whisper, VITS2, LoRA
      whatsapp-ai-agent Multilingual WhatsApp AI agent — voice/text, Pashto & Dari FastAPI, GPT-4o-mini, Modal
      hr-policy-intelligence-system 100% offline RAG chatbot for HR policy documents LLaMA 3, FAISS, LangChain

      Tech Stack

      ML/AI: PyTorch · Whisper · LoRA / PEFT · CTranslate2 · LangChain · FAISS · Ollama Deployment: Modal Cloud · FastAPI · Streamlit Languages: Python · JavaScript

      Connect

      LinkedIn GitHub

      Open to freelance AI/ML projects — especially low-resource NLP and speech.

Pinned Loading

  1. hr-policy-intelligence-system hr-policy-intelligence-system Public

    Local RAG-based HR policy chatbot — LLaMA 3 8B (4-bit) via Ollama, FAISS vector search, LangChain, Streamlit. 100% offline, no cloud APIs.

    Python

  2. pashto-dari-stt-tts pashto-dari-stt-tts Public

    Fine-tuned Whisper Large-v3 + VITS2 for Pashto & Dari — LoRA, CTranslate2 INT8, WER 12.29%, trained on 1.5M+ audio samples, deployed on Modal.

    Python

  3. whatsapp-ai-agent whatsapp-ai-agent Public

    Multilingual WhatsApp AI agent for Pashto & Dari — voice/text I/O, GPT-4o-mini, serverless on Modal.

    Python