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I will build deep learning models for nlp and computer vision

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haseeb_manzoor1
H
haseeb_manzoor1
Haseeb Manzoor
build deep learning models for nlp and computer vision
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build deep learning models for nlp and computer vision
Full Screen
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build deep learning models for nlp and computer visionbuild deep learning models for nlp and computer visionbuild deep learning models for nlp and computer vision

About this gig

Are you looking to integrate powerful AI capabilities into your product or business?

I will build and integrate custom deep learning models for Natural Language Processing (NLP) and Computer Vision, tailored exactly to your use case.

I specialize in AI Integration, meaning I dont just train models I make them usable, scalable, and production-ready.


What I Can Do for You

Build custom deep learning models (NLP or Computer Vision)

Train, fine-tune, and evaluate models with proper metrics

Integrate AI models into your system (script or API)

Fine-tune pretrained models (BERT, T5, ResNet, etc.)

Optimize models for performance and GPU usage

Deliver clean, well-documented Python code

Technologies I Use

  • Python
  • PyTorch / TensorFlow
  • Hugging Face
  • FastAPI / Flask
  • NLP (Text Classification, QA, Summarization, Chatbots)
  • Computer Vision (Image Classification, Detection, OCR)

Why Choose Me

  • Strong background in Machine Learning & Deep Learning
  • Experience with real-world AI projects
  • Clean, maintainable, production-ready code
  • Clear communication and on-time delivery


  • AI engine

    • GPT
    • Gemini
    • PyTorch

  • Programming language

    • Python

Get to know Haseeb Manzoor

Haseeb Manzoor

Full Stack AI Engineer

  • FromPakistan
  • Member sinceNov 2025

  • Languages

    English
AI Engineer specializing in Generative AI, Large Language Models (LLMs), and Transformers. I design and deploy end-to-end ML pipelines, including data preprocessing, model training, and production deployment. Key highlights: 1. Fine-tuning state-of-the-art models like T5, BERT, and LLaMA for domain-specific tasks. 2. Developing RAG-based agentic systems and AI chatbots with LangChain, LangGraph, FastAPI, and Streamlit. 3. Proficient in MLOps & cloud deployment, including Docker, MLflow, AWS (EC2, S3, ECR), and CI/CD pipelines.

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