Cawin Chan

Cawin Chan

Very Small Aperture Terminal (VSAT) Technician (NS)

Followers of Cawin Chan366 followers
location of Cawin ChanSingapore, Singapore

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  • Timeline

  • About me

    AI Platform Engineering Lead

  • Education

    • Singapore University of Technology and Design (SUTD)

      2019 - 2022
      Bachelor of Engineering - BE Computer Science

      Minor in AI

  • Experience

    • Singapore Armed Forces (SAF)

      Jan 2017 - Nov 2018
      Very Small Aperture Terminal (VSAT) Technician (NS)

      • Worked with the Battalion 2nd Commanding Officer to redesign and automate network switch configurations for a military satellite vehicle to enable fast uplink and communications.• Streamlined VSAT operational processes by abstracting complexities like encryptor configurations from users, reducing the learning curve for the unit’s NSmen (Reservist) and achieving an 81% (40% increase) of overall satisfaction among clientele.• Awarded Best Soldier in HQ Guards Unit by COL Chief Guards Officer Show less

    • ShopBack

      Nov 2018 - May 2019
      Data Analyst Intern

      • Launched a data-capturing project tracking click events of mobile and web users. Designed, developed and maintained a unified event tracking schema. Utilised Redshift and Presto to perform user segmentation and funnel analysis through click analysis, enhancing user retention rates.• Worked with the Regional Head of Communications in preparation of the “Year In Review 2018” report. Found the significance of a mobile-first strategy through analysing the volume of traffic, average basket size and frequency. Show less

    • Towards Data Science

      Jan 2020 - Dec 2021
      Freelance Technical Writer
    • Data Driven Investor

      Feb 2020 - Dec 2021
      Freelance Techical Writer
    • Bosch

      Jun 2020 - Dec 2021

      • Partnered with Senior Data Scientist to create an Advanced Fire Detection Model (Patent Pending) for the multiple Raspberry Pi nodes. • Researched and implemented fire detector model architecture to produce 90% accuracy, increased prediction speed from 1000ms to 90ms with +-1% loss and converted model from 4MB to TF lite 1MB and loaded model to Raspberry pi.• Published "Installing TensorFlow 2.3.0 for Raspberry Pi3+/4 (Debian Buster)" on Medium|ITNEXT reached over 7k views.• Designed error analysis plots as a prediction evaluation metric for long sequences of classifications.• Researched and implemented feature importance and model compression techniques (Post-quantization and pruning) Show less

      • Machine Learning Engineer for Embedded Systems Intern

        Jul 2021 - Dec 2021
      • Machine Learning Engineer for Embedded Systems Intern

        Jun 2020 - Dec 2021
    • Panasonic

      May 2021 - Jul 2021
      Computer Vision and Deep Learning Intern

      Thermal CCTV Body Temperature Monitoring for COVID Project.Collaborated with a senior data scientist to develop a face detection and temperature detection system which alerts users that have a fever.

    • Axomem.io

      Dec 2022 - now

      • Spearheaded as Technical Lead for AI development on advanced temporal predictions, delivering a model that surpassed established benchmarks in accuracy and efficiency. • Facilitated stakeholder communication by bridging complex technical information, enhancing decision-making, and project collaboration on explainable AI.• Pioneered the automation and enhancement of DevOps workflows by combining Terraform and Jenkins for robust Infrastructure As Code (IAC) testing.

      • AI Platform Engineering Lead

        Dec 2024 - now
      • Machine Learning Engineer

        Dec 2022 - Dec 2024
  • Licenses & Certifications

  • Honors & Awards

    • Awarded to Cawin Chan
      Certificate of Merit - Apr 2017 • Coursework in CCNA , Networking, Physics and Mathematics in Signalling. • Top 3 of the cohort