Mohamed Fares Ben Ayed
Software Engineer at Qore- Claim this Profile
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English Professional working proficiency
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Arabic Native or bilingual proficiency
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French Professional working proficiency
Topline Score
Bio
Credentials
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Sololearn Course Certificate of Golang programming language
SololearnSep, 2022- Nov, 2024 -
Sololearn Course Certificate in Intermediate Python
SololearnJul, 2022- Nov, 2024 -
[PCAP-31-30] Certifed Associate in Python Programming
Python InstituteApr, 2022- Nov, 2024 -
MTA: Introduction to Programming Using JavaScript - Certified 2018
MicrosoftAug, 2018- Nov, 2024
Experience
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Qore
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United States
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Outsourcing and Offshoring Consulting
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1 - 100 Employee
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Software Engineer
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Apr 2023 - Present
Working with the client Cetec ERP as a Full stack developer (React/go stack).• Migrating the Cetec ERP platform from a Perl 🐪 code's application to a Go/react application.• Testing Go APIs and integrate them through the application.• Implementing React pages and test the frontend.
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Software Engineer Intern
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Jan 2023 - Apr 2023
Working with the client Cetec ERP (an american company) as a golang/react developer.• Comprehension of the Cetec ERP software's different components by trying the UniversitERP platform.• developping new react components in the application backed by golang APIs.• Understanding the backend architecture and the interaction with MariaDB Database.#Golang #react #javascript #MariaDB #git
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Sungurious
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Tunisia
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Information Technology & Services
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Data Science & Python developer Intern
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Jul 2022 - Aug 2022
Developping an algo trading strategy based on the analysis of daily/weekly news reports of the market. A complete notebook to make decisions. Developping an algo trading strategy based on the analysis of daily/weekly news reports of the market. A complete notebook to make decisions.
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LIPSIC | Tunis Faculty of science
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Tunis, Tunisia
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Graduation project intern | data science
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Mar 2021 - Oct 2021
I acquired the following skills and knowledge: • Understanding the audio data features like 𝐌𝐅𝐂𝐂 (Mel-Frequency cepstral coefficients) and Mel-Spectrogram. • Building hybrid 𝐧𝐞𝐮𝐫𝐚𝐥 𝐧𝐞𝐭𝐰𝐨𝐫𝐤 𝐦𝐨𝐝𝐞𝐥𝐬, Like 𝐂𝐍𝐍-𝐋𝐒𝐓𝐌. • Developing a 𝐬𝐩𝐞𝐞𝐜𝐡 𝐞𝐦𝐨𝐭𝐢𝐨𝐧 𝐫𝐞𝐜𝐨𝐠𝐧𝐢𝐭𝐢𝐨𝐧 𝐰𝐞𝐛 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 using 𝐅𝐥𝐚𝐬𝐤 𝐟𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤. I acquired the following skills and knowledge: • Understanding the audio data features like 𝐌𝐅𝐂𝐂 (Mel-Frequency cepstral coefficients) and Mel-Spectrogram. • Building hybrid 𝐧𝐞𝐮𝐫𝐚𝐥 𝐧𝐞𝐭𝐰𝐨𝐫𝐤 𝐦𝐨𝐝𝐞𝐥𝐬, Like 𝐂𝐍𝐍-𝐋𝐒𝐓𝐌. • Developing a 𝐬𝐩𝐞𝐞𝐜𝐡 𝐞𝐦𝐨𝐭𝐢𝐨𝐧 𝐫𝐞𝐜𝐨𝐠𝐧𝐢𝐭𝐢𝐨𝐧 𝐰𝐞𝐛 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 using 𝐅𝐥𝐚𝐬𝐤 𝐟𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤.
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Education
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TEK-UP
Master's degree, Computer Software Engineering