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Youcef O. AI, Deep Learning and AI Platforms

My name is Youcef O. and I have over 5 years of experience in the tech industry. I specialize in the following technologies: PyTorch, Deep Learning, TensorFlow, Computer Vision, OpenCV, etc.. I hold a degree in Master's degree. Some of the notable projects I've worked on include: Efficient object detection for edge devices., Medical image Analysis, Multimodal biometric database collection, Data analytics for profit optimization, Research paper, etc.. I am based in El Harrach, Algeria. I've successfully completed 11 projects while developing at Softaims.

I possess comprehensive technical expertise across the entire solution lifecycle, from user interfaces and information management to system architecture and deployment pipelines. This end-to-end perspective allows me to build solutions that are harmonious and efficient across all functional layers.

I excel at managing technical health and ensuring that every component of the system adheres to the highest standards of performance and security. Working at Softaims, I ensure that integration is seamless and the overall architecture is sound and well-defined.

My commitment is to taking full ownership of project delivery, moving quickly and decisively to resolve issues and deliver high-quality features that meet or exceed the client's commercial objectives.

Main technologies

  • AI, Deep Learning and AI Platforms

    5 years

  • PyTorch

    1 Year

  • Deep Learning

    1 Year

  • TensorFlow

    1 Year

Additional skills

Direct hire

Potentially possible

Previous Company

Ecole Nationale Polytechnique (ENP) - Algeria

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Experience Highlights

Efficient object detection for edge devices.

We performed quantization of object detection models. The goal was to design efficient detection models dedicated for edge devices.

Medical image Analysis

We explored two image enhancement techniques namely: histogram equalization and gamma correction. Histogram equalization consists of improving the contrast of the image by redistributing pixels of an

Multimodal biometric database collection

The goal was to collect a dataset for multimodal face recognition on mobile devices with 50 participants. The dataset is collected following thesse steps: - Design and implement an Android App to

Data analytics for profit optimization

Task 1: Design and implement a data analytics pipeline to discover seasonal relatiohships between sales and profits. Task 2: Implement a SARIMA model to forecast sales. Task 3: Write a research re

Research paper

Design and implement a novel self-supervised method based on mutlimodal fusion for continuous biometric recognition on mobile devices

Education

  • Université Mouloud Mammeri Tizi-Ouzou

    Master's degree in

    2015-01-01-2017-01-01

Languages

  • Arabic (Fluent)
  • English (Fluent)
  • French (Fluent)