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hamzafer/README.md

About me

Senior software engineer and vision‑language researcher focused on generative models, multimodal transformers and scalable AI systems. Currently completing an Erasmus Mundus M.Sc. at NTNU while leading backend and ML work at Receptive AI.

Research & engineering interests

  • Multimodal transformers for vision and retrieval
  • Diffusion and latent‑generative models
  • Real‑time inference pipelines & micro‑service architectures
  • Cloud infrastructure on AWS / Kubernetes

Some projects

  • Wild LVMs: vision‑language models for robotics (2024)
  • Semantic Image Retrieval: natural‑language image search (2024)
  • Receptive AI: GPT‑powered employee‑feedback platform (> $1 M ARR)
  • Visual Assistant: on‑device object‑detection mobile app

Tech stack

Python  PyTorch  C++  FastAPI  Docker  Kubernetes  AWS  Kafka  PostgreSQL

Contact

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  1. LeetCode LeetCode Public

    Collection of LeetCode questions to ace the coding interview!

    Python

  2. Visual-Assistant Visual-Assistant Public

    Visual Assistant is an intelligent interface designed to provide real-time scene understanding by utilizing advanced machine learning and image processing algorithms applied to live video streams.

    Python 3

  3. Evaluating-Machine-Learning-Methods Evaluating-Machine-Learning-Methods Public

    Evaluating Machine Learning Methods in Color Mapping for Printers

    Python

  4. Enhancing-Image-Captioning Enhancing-Image-Captioning Public

    Enhancing Image Captioning with Advanced Deep Learning Techniques

    Python

  5. Student-Performance-Prediction Student-Performance-Prediction Public

    Develop machine learning models to predict student outcomes

    R

  6. super-resolution-color super-resolution-color Public

    super-resolution-color

    Jupyter Notebook