I will ai conversational chatbots , voice bots , ai agent , ai chatbot

M
m_athar_rizwan
M
m_athar_rizwan
M.athar
Certaines informations sont présentées en anglais.

À propos de ce service

I develop AI-powered chatbots and voice bots using Python with modern frameworks such as FastAPI for backend services and LangChain or LlamaIndex for building intelligent conversational pipelines.

The system integrates advanced AI models from OpenAI, Hugging Face, and other open-source LLMs, enabling natural and context-aware conversations. For knowledge-based responses, I implement Retrieval-Augmented Generation (RAG) using vector databases and document processing pipelines.

Voice bot capabilities include Speech-to-Text (STT) and Text-to-Speech (TTS) using state-of-the-art models such as Whisper and other high-quality speech systems.

I also support API integrations, database connectivity, and deployment-ready architectures designed for scalability, performance, and real-world business applications.

Découvrez M.athar

M.athar

From Data to Deep Learning Turn Ideas into Intelligent Models

  • DePakistan
  • Membre depuismars 2025
  • Langues

    Hindi, Ourdou, Anglais, Arabe, Espagnol, Allemand
Hi! I am a humble machine learning engineer and deep learning researcher with practical experience in developing complex AI systems - research-quality models, to deployed machine learning pipelines. My specialization is the design of tailored neural networks, CNN models, models based on TDA, data science processes, and powerful analytical dashboards. I have also worked on TopoCytoNet, which is a hybrid CNN + Topological Data Analysis model, composed of VGG-16, persistent homology (GUDHI), multi-head attention, spatial attention, and trained using optimized training strategies like caching.

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