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Faycal S - Computer vision developer
Member since:Dec 02, 2020
Profile last updated:Nov 23, 2020
Last activity:Dec. 2, 2020, 10:37 a.m. UTC

Faycal S


My name is Faycal Selmane. I'm a fresh AI engineer with a masters degree. I have a bachelors degree in software design and engineering. I work as a full-stack web developer. I always seek knowledge and make sure that the job is well done. Delivering a high-quality product and always maintaining respectful relations with people are my tenets.

Skills:   Computer vision  ·  PyTorch  ·  Plotly  ·  Vue.js  ·  Pandas  ·  Agile  ·  React  ·  Nodejs  ·  MongoDB  ·  Material Design  · 
Weekly Availability: 38 hours
Tues 18 - 23 10 - 15
Wed 18 - 23 10 - 15
Thurs 14 - 23 06 - 15
Fri 07 - 18 23 - 10
Sat 08 - 16 00 - 08

Partime Freelancer
Experience: 1 yrs
Computer vision: 1 yrs
PyTorch: 1 yrs
Plotly: 1 yrs
Vue.js: 1 yrs
Pandas: 1 yrs
Engineer's Devices:
Android Tablet


Jil School     E-learning application     Full Stack Developer     Contract
Jun 2020 - Nov 2020

  • UML based system design ( Use cases, scenarios, Class diagrams ).
  • Basic Agile scrum workflow ( Many sprints in both design and development phases ).
  • Collaboration via several tools ( Slack, Trello, Git, etc ...).
  • Developed a 'students application' based on MERN (MongoDB ExpressJs React Nodejs) stack, using React, bootstrap with enhanced UX via interactive swapping cards and quizzes.
  • Developed based on MERN stack, a fully-featured admins application, for teachers and managers, using React, Material Design, etc..

Skills used: MongoDB, Agile, Material Design, Nodejs, React

Links to the project:

Link to the github:
French comte     AI solution for crowd counting     Software Engineer     Internship
Jan 2020 - Sep 2020

  • Designed a novel, powerful and dynamic crowd counting training system with Pytorch (including Google drive and Github APIs for checkpoints saving and versioning).
  • Developed an application with a GUI for crowd-counting-CNN training management, using Flask, Pytorch, openCV, HTML,CSS,JS.
  • Developed a validity check and tuning tests for the deployed CNNs, using Dash, Pandas, Numpy, Matplotlib.
  • Developed a multi-purpose, enhanced crowd counting management application, based on Computer vision, using Dash, Flask, Vue.js, Plotly, Pandas, Numpy.
  • Worked in an incremental worklow to continiousely deliver a model for test and production.

Skills used: Pandas, Vue.js, PyTorch, Computer vision, Plotly

Link to the project:

Links to the github:


University of Science and Technology Houari Boumediene    Bachelor  (Computer science and software engineering)
Sep 2015 - Jun 2018
University of Science and Technology Houari Boumediene    Master  (Artificial intelligence)
Sep 2018 - Sep 2020