Ian Chan Jia Jun

Ian Chan Jia Jun

Artillery Officer

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location of Ian Chan Jia JunSingapore

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  • Timeline

  • About me

    Software Engineer at DSTA

  • Education

    • Nanyang Technological University Singapore

      2020 - 2024
      Bachelor of Science - BS Computer Engineering 4.65/5 (Highest Distinction)

      Dean's List AY 2021-2022

    • Anglo-Chinese Junior College

      2016 - 2017
      A-Levels Science 83/90

      Activities and Societies: Canoeing Men's Vice Captain

  • Experience

    • Singapore Army

      Apr 2018 - Feb 2020
      Artillery Officer

      I was an Instructor for Artillery Institute. Through this, I have been exposed to many leadership roles. I also had the opportunity to make many difficult decisions and learnt interpersonal skills through communicating with my cadets and peers. Communication and Leadership are two of the more prominent skills I have learnt through my 2 years.

    • Fairfield Methodist School (Secondary

      Jun 2020 - Jul 2020
      Substitute Teacher

      As a Relief Teacher, I covered classes for teachers who were absent and if given the rare opportunity, I would be able to teach subjects I am comfortable with. As it was during the Covid-19 period, I had the experience of handling secondary school children, ensuring social distancing was observed and mask were worn at all time. Overall, it was a fulfilling experience for me, where I was given more insight into how a teacher's life was like and how the school system functions.

    • Kodecoon Academy

      May 2021 - Jul 2021
      Computing Teaching Intern

      - Taught students key computing concepts - Organised and managed computing camps - Gained and demonstrated technical expertise and people management

    • WSAudiology

      May 2022 - Aug 2022
      Software Engineering Intern

      - Utilised Python APIs like PySpark, MLFlow, Pandas, Sklearn etc. for big data (a few hundred thousand data points) analysis.- Implemented Machine Learning algorithms for anomaly detection in production data. Algorithms such as Kmeans Clustering, Isolation Forest, One-Class SVM, Neural Networks etc.- Established a data pipeline with Microsoft Azure Data Bricks to run production data through Machine Learning models and output them into a DeltaLake database.- Created visualization of big data through Python code using DataBricks Notebooks. Show less

    • DSTA

      Jan 2023 - May 2023
      AI Software Engineer Intern

      - Research and implementation of state-of-the-art speaker identification and diarization AI models- Employed Python packages like Pytorch, Numpy, Librosa, Gradio etc.- Implemented deep learning models like ResNets, Time-Delayed Neural Networks, Convolutional Neural Networks etc.- Finetuned and utilised pre-trained models from Nvidia NeMo, Pyannote, HuggingFace, Github

    • DSTA

      Aug 2024 - now
      Software Engineer
  • Licenses & Certifications