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Kevin Labille is a seasoned software engineer with expertise in full-stack web development, programming languages such as C++, Java, and Python, and experience in network architecture, security, and administration. He has worked as a full stack developer at Lender Price, a research assistant at the University of Arkansas, and an intern at various companies including SupplyPike, J.B. Hunt Transport, Inc., and CNRS.

Credentials

  • Test Of English for International Communication - Score of 895.
    TOEIC
    Jan, 2012
    - Apr, 2026
  • Cisco Certified Network Associate (CCNA) 1, 2, 3, 4
    Cisco

Experience

    • Full Stack Developer
      • May 2021 - Present

      Full stack software engineer

    • United States
    • Higher Education
    • 700 & Above Employee
    • Postodoctoral fellow
      • Jan 2020 - May 2021

      - Fairness in dynamic personalized recommender systems: • Designed a novel fairness metric for linear contextual bandits • Developed Fair-LinUCB that improves upon LinUCB to achieve group-level fairness of users • Designed a novel algorithm under the linear contextual bandit setting that transfers prior observations • Developed T-LinUCB that improves upon LinUCB to address the cold-start problem and cross-domain recommendations

    • Research Assistant
      • Jan 2014 - Dec 2019

      - Sentiment quantification on Twitter data: • Designed a formula to derive word's paired sentiment scores from Tweets to build a sentiment lexicon • Derived various sentiment features to represent Tweets for univariate SVM-based sentiment analysis • Compared several statistical distances that are optimized by a multivariate SVM to perform sentiment quantification- Sentiment shift detection over time: • Designed and defined sentiment signals/time-series based on a sentiment quantifier • Developed a geometric-based change-point detection algorithm for automatic sentiment shift detection- Sentiment Analysis on Amazon data: • Designed a statistical and information theoretic method to derive word's single sentiments score from Amazon reviews • Analyzed generic sentiment lexicons versus domain-specific lexicons • Compared the effectiveness of generic sentiment lexicon versus domain-specific lexicons for sentiment analysis- Recommender systems:• Designed and implemented a recommender system for CiteSeerX digital library for academic paper recommendations

    • Graduate Teaching Assistant
      • Aug 2014 - Aug 2019

      Programming Foundations I:• Taught weekly labs, designed course materials including labs and homework, held office hours, graded homework and examsProgramming Paradigms: • Held office hours, graded homework and examsMobile Programming: • Held office hours and graded homeworks

  • SupplyPike
    • Fayetteville, Arkansas, United States
    • Intern python backend developer
      • May 2017 - Aug 2017
      • Fayetteville, Arkansas, United States

      • Designed and implemented various supply chain-related web applications with Python Flask• Kept git repository synced and documented, designed unit testing cases

    • Intern java spring backend programmer
      • May 2015 - Aug 2015
      • Lowell, Arkansas

      • Developed a RESTful live chat web service and improved existing Java web services with Java Spring• Kept SVN repository synced, and wrote wiki documentation

  • University of Arkansas
    • Fayetteville, Arkansas
    • Research intern at University of Arkansas
      • Mar 2013 - Jul 2013
      • Fayetteville, Arkansas

      Autonomous navigation system for UAV:• Researched video-based obstacle detection for UAV Navigation and collision Avoidance for 360° camera with OpenCV

    • Research intern at National Taiwan University of Science and Technology
      • Apr 2012 - Jul 2012
      • Taipei, Taiwan

      • Conception and development of an In-Vehicle infotainment system controlled by hand gesture.• The proposed system included a music player, video player, a weather forecast and ageolocalisation & GPS system. Implemented with C++, Qt framework.

  • CNRS
    • Dijon, France
    • Research Intern at LE2I
      • Apr 2009 - Jul 2009
      • Dijon, France

      • Improved an algorithm that transforms RDF into PROMELA. Decreased the running time by 99.8\%• Designed an algorithm that converts SPARQL queries into LTL logic for Spin and for NuSMV• Designed an algorithm that converts SPARQL queries into CTL logic

Education

  • 2014 - 2019
    University of Arkansas
    Doctor of Philosophy (Ph.D.), Informatique
  • 2010 - 2013
    Ecole supérieurs d'ingénieurs de recherche en matériaux et en InfoTronique
    Master's degree, Computer Science majoring in network security and quality of service
  • 2008 - 2010
    IUT DIJON
    Bachelor's degree, Computer science majoring in software engineering

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