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Jules Repusseau
Field Application Engineer
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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

職場能力評價

專業背景

  • 目前狀態
    就職中
    目前會考慮了解新的機會
  • 專業
    數據工程師
    CAD·3D 設計師
    資料庫
  • 產業
    區塊鏈
    軟體
    數位
  • 工作年資
    2 到 4 年 (1 到 2 年相關工作經驗)
  • 管理經歷
    我有管理 1~5 人的經驗
  • 技能
    jQuery
    github
    Python
    Chinese
    French
    English
    CATIA
    JavaScript
    Data Analysis
    Front End Development
    Deep Learning
    AWS
    Amazon Web Services (AWS)
    Development
    python
  • 語言能力
    French
    進階
    Chinese
    中階
    English
    專業
    Spanish
    中階
    Russian
    初階
  • 最高學歷
    碩士

求職偏好

  • 預期工作模式
    全職
    對遠端工作有興趣
  • 希望獲得的職位
    Engineer
  • 期望的工作地點
    Taipei, Taiwan
  • 接案服務
    兼職接案者

工作經驗

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Field Application Engineer

2022年5月 - 現在
台灣台北市
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

2021年5月 - 2022年6月
1 年 2 個月
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

2020年1月 - 2021年2月
1 年 2 個月
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.
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Assistant Engineer

2020年5月 - 2020年12月
8 個月
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

2018年10月 - 2019年1月
4 個月
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

2018年2月 - 2018年8月
7 個月
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.

學歷

其他
Mandarin Language
2019 - 2022
社團活動
Learn traditional mandarin chinese since 2019
簡介
Mandarin Intermediaries level (B2)
科學碩士(MS)
Materials engineering
2015 - 2019
工學學士(BEng)
General Engineering
2012 - 2015