Lukas Wiku

Lukas Wiku

Laboratory Assistant

Followers of Lukas Wiku177 followers
location of Lukas WikuChuncheon, Gangwon, South Korea

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  • Timeline

  • About me

    Data Scientist @Supertype | AI, Agricultural Engineer, Computer Vision

  • Education

    • SMA Kolese Debritto

      2013 - 2016
      Science
    • Universitas Gadjah Mada (UGM)

      2016 - 2020
      Bachelor's degree Agricultural Engineering 7th Semester
    • Kangwon National University

      2022 - 2024
      Master's degree Biosystem Engineering
  • Experience

    • Universitas Gadjah Mada (UGM)

      Jul 2018 - Dec 2019
      Laboratory Assistant

      Practiced tutoring and teaching for students who took the corresponding courses, once or twice a week. My work includes planning and creating teaching materials for one semester, grading, and preparing for the laboratory exam.

    • Universitas Gadjah Mada (UGM)

      Oct 2020 - Jun 2021
      Technical Staff of the Irrigation Modernization Project

      - Designed, coded, assembled and optimized Automatic Weather Station (AWS) and Automatic Water Level Recording (AWLR) devices- Developed water level monitoring system based on surveillance IR camera and computer vision technology- Developed IoT system for agricultural data reading and cloud-based data storage and visualization

    • PT Javan Cipta Solusi

      Jun 2021 - Jan 2022
      Python Engineer

      - Designed and developed a web application for employee monitoring which solved company issues such as delayed project completion, and imbalanced task assigning thus improving the overall company productivity - Exposure to Agile/scrum development process- Developed language model (LM) and apply machine learning algorithm for employee profiling based on their task completion - Developed productivity application for designer called “Iconhub”, which has been used by more than 20k users

    • Kangwon National University

      Mar 2022 - Aug 2024
      Graduate Research Assistant

      Key accomplishments:- Developed, trained, and deployed novel convolutional neural network (CNN) models for plant disease detection which achieved more than 90% accuracy- Conducted numerous experiments involving data augmentation and model fine-tuning to achieve the best model performance- Developed and automated scalable big data of hyperspectral image datasets for deep learning training pipeline- Developed image segment generator and labelling software for large-scale hyperspectral images- Performed statistical analysis to derive insights for abnormal crops based on complex spectrum data- Implemented numerous computer vision and machine learning algorithms for modelling of various datasets that results in more than 4 publications Show less

    • Supertype

      Nov 2024 - now
      Data Scientist
  • Licenses & Certifications

  • Honors & Awards

    • Awarded to Lukas Wiku
      2nd Winner of AESAP 2019 Student Design Competition International Conference of Agricultural Engineering for Sustainable Agricultural Production October 1, 2019