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Engineering Assistant

Location:
Saint-Laurent, QC, H4T 1C8, Canada
Posted:
April 03, 2021

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Resume:

Zakaria Hicham

Cheniti

• Ability to work with Windows (cmd) and Linux (bash) operating systems.

• Experienced in Full-Stack web development, including HTTP and socket communications between clients and servers.

• Ease of managing and protecting databases (SQL / No-SQL).

• Interest marked by object-oriented, algorithms and design patterns in software programming.

• Ability to keep the work team on good terms and focused on the tasks at hand by applying agile methods, using tools such as Git and Jira.

Programming: Cloud : Embedded systems:

Java, C/C++, Python Open-Stack, AWS VHDL, Verilog, SystemC Web Front End: Multithreading: Database:

TypeScript/JavaScript, POSIX Threads, Intel TBB, MongoDB, SQLite Angular, React, Redux OpenMP, OpenCL, OpenMPI

Back End: Virtualization: In training:

Flask, Django, Node.Js Docker, Kubernetes, VMware Kotlin, C#, Matlab, PHP Redis, Geoserver

Computer engineering baccalaureate degree

PROFIL

Skills

EDUCATION Polytechnique Montréal 2017 - 2021

438-***-****

adleg7@r.postjobfree.com

58 av Crochet, Laval QC

Experiences

Hackatown Polytechnique - Smart city

Develop in 24 hours an Android application to offer courses on demand. Others Laboratory Assistant - Software Engineering Help students to carry out practical work concerning the procedures to follow in software development.

2021

3rd engineering integrator project: Transcript blockchain

• Build a distributed system in which a server must handle requests from an administrator and clients while interacting with three miners (ZeroMQ).

• Continuously perform quality assurance to ensure code understanding and to encourage reuse while testing (TDD).

• Improve user interfaces to provide a pleasant and simplistic visual experience for customers (on Android) and administrators (on PC). 2020

2020

2019

4th engineering integrator project: Drone des champs - QuickCount

• Development of a web interface to display a client's field containing the detection of vegetables (shapefiles) on agricultural remote sensing images (geotiffs)

• Creation of prediction models to calculate the size and number of vegetables in an agricultural field.

• Prevent backend bugs during the creation (tiling) and processing (AI) of a project.



Contact this candidate