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Jules Repusseau
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Field Application Engineer
My name is Jules Repusseau, I’m a French postgraduate material engineer. I acquired my master diploma in Polytechnic school of Lyon-1 in France. During my master program, I specialized in material simulation and biomaterial. By following courses on material simulation and participating in a Phd research project about it, I developed a strong interest in infinite elements therefore I want to extend research work in this field. I have knowledge in material modelisation including hybrid composite mechanical properties (Hexcel 2016, Cermel 2018) , and microfluidic interaction (CNRS 2020). In my last job in the French national research center (CNRS) last year, I led research work on microfluidic systems applied for micro-vessel modeling. It was a part of CNRS’s cancer treatment research study. I was in charge of designing, implementing, automating as well as simulating the microfluidic system. My material engineer background brought my technical and scientific skills to work on a finite element simulation of the inflow model. From 2020 I am pursuing an entrepreneur certification in Euratechnologies willing to improve my marketing and business development skills. In a previous work in South Korea I was host manager in a guesthouse and frequently have to deal with customer services in a multicultural environment. I also built up data processing skills through data projects in my past working experiences. I’m skilled in data exploration, cleaning, analysis and deep learning model creation. As a side project I also run websites and marketplaces for Non-profit organizations. I am a hard worker, I regularly come up with practical solutions to resolve complex situations. I am familiar with Taiwanese educational and working cultures, I studied engineering in National Tsing-Hua University (國立清華大學) and mandarin at the National Taiwan Normal University (師大) training center.
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Ackuretta Technologies
NTNU - MTC
Taipei, Taiwan

Skills

jQuery
github
Python
Chinese
French
English
CATIA
JavaScript
Data Analysis
Front End Development
Deep Learning
AWS
Amazon Web Services (AWS)
Development
python

Languages

French
Fluent
Chinese
Intermediate
English
Professional
Spanish
Intermediate
Russian
Beginner

Work experiences

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Field Application Engineer

Ackuretta Technologies
Full-time

May 2022 ~ Present
Taipei City, Taiwan
Take care of customer support in Dental 3d printing company. Help for internal tool development and technical documentation. Support customer troubleshoot.
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Customer Support Engineer

Splashtop Inc.
Full-time

May 2021 ~ Jun 2022
1 yr 2 mos
Taipei City, Taiwan
Responsible of customer support in a remote software company. Take care of European customer Help detect bugs and troubleshoot.
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Business Developper / BA

Euratechnologies

Jan 2020 ~ Feb 2021
1 yr 2 mos
I complete a business/entrepreneur certificate with Euratechnologies [France]. It's a 180-hour course about business development, operation, CRM, communication and presentation skills, etc. I’m proactive in practicing business, my start-up project cut into top 10 and won 15000 euro fund.
Logo of National French Center for Scientifique Research (CNRS) .

Assistant Engineer

National French Center for Scientifique Research (CNRS)

May 2020 ~ Dec 2020
8 mos
醫療用微氣泡研究 - 合成微氣泡,測量微氣泡大小及界面電位,並分析實驗老鼠腦中的微氣泡核磁共振影像,為癌細胞標靶治療技術的研究。 o 超音波作用最佳化 – 研究超音波與微氣泡作用,透過流式細胞分析,得到微氣泡在體外實驗中最佳的傳送效果。 o 流體環境微氣泡實驗 – 體外腫瘤模型微流系統自動化,模擬血液流動環境,並檢測微氣泡鎖定腫瘤細胞精準度。 ◦ Analyze MRI and echography: Using Machine Learning to analyze MR and echography imagery to detect glioblastoma in patient brain. ◦ Optimize ultrasounds performance : Lead study in ultrasound and microbubbles interactions. Coordinates with practitioners to optimize an ultrasound system for in vivo glioblastoma treatment. ◦ Build microfluidic system: Collaborate with microfluidic equipement vendor to find solution and setup microfluidic system for in flow cell culture.
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Data scientist intern

Maprochaineauto.com

Oct 2018 ~ Jan 2019
4 mos
o 資料分析 – 與汽車零售商合作,將其銷售資料用Dataiku資料清理與視覺化 o 預測 – 使用Python Scikit-learn 套件進行機器學習,分析消費者購車消費習慣並建立預測模型,做為汽車零售商的線上推薦系統。 ◦ Engage with customers: Elicit customers requirements then build features and design user interface. ◦ Data analysis: Collaborate with retailers to conduct data pipeline processing and datasets visualisation using Dataiku. ◦ Predictions: Create predictions models under Python environment and use Automatic Machine Learning libraries to detect relevant criteria in purchase habits. This model can be implemented for recommendation system.
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Engineer Intern

CERMEL

Feb 2018 ~ Aug 2018
7 mos
軍規合成橡膠成分檢測 – 測試合成橡膠在高溫高壓環境中的表現,並設計訂定成分標準,檢測結果為軍規合成橡膠所使用。 ◦ 材料模擬 – 研究爆裂物隔熱材料微球粒合成橡膠成分與調製配方。 ◦ Composite elastomer testing: Elastomer material benchmarks design and testing in wide stress and temperature environment. Applications in military field. ◦ Material behavior simulation: Studies on particular elastomers composites materials using Matlab and research for a physical law description.

Educations

NTNU - MTC

Other
Mandarin Language

2019 - 2022
Activities and societies
Learn traditional mandarin chinese since 2019
Description
Mandarin Intermediaries level (B2)

Polytech Lyon

Master of Science (MS)
Materials engineering

2015 - 2019

Polytech Orleans

Bachelor of Engineering (BEng)
General Engineering

2012 - 2015