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馬新凱
Senior Backend Engineer/Machine Learning Engineer @ Calyx Inc.
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馬新凱

Senior Backend Engineer/Machine Learning Engineer @ Calyx Inc.
Software Engineer
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Calyx Inc.
國立臺灣師範大學
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
    軟體工程師
    數據科學家
  • 產業
    軟體
  • 工作年資
    6 到 10 年 (6 到 10 年相關工作經驗)
  • 管理經歷
  • 技能
    Fortran
    JavaScript
    vue.js
    MySQL / Mariadb
    MongoDB
    Linux OS
    TypeScript
    docker
    Drone
    Kubernetes
    Spring Cloud
    Spring Boot
    Python
    RabbitMQ
    Redis
    Java
    Micro Service
    Machine Learning
    RCNN
    Pytorch
    Detectron2
    AWS
    EKS
    Kafka
    XGBoost
    Word
    NestJS
    Distributed Systems
  • 語言能力
    Japanese
    中階
    English
    中階
    Chinese
    母語或雙語
  • 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
    後端工程師/系統架構師/機器學習工程師
  • 期望的工作地點
    台灣台北市
  • 接案服務
    兼職接案者

工作經驗

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Senior Backend Engineer/Machine Learning Engineer

Calyx Inc.
全職
2022年3月 - 現在
- Initiate Kubernetes cluster for SaaS in AWS (EKS) for better availability and horizontal scalability by Terraform and Helm. - Initiate Prometheus, Grafana and Loki for monitoring, alerting and log management system. - Initiate e2e testing with Cypress.js and integrating new CI/CD pipeline with ArgoCD and github action. - Improving SaaS availability and horizontal scalability by refactoring legacy system. - Refactored SaaS RBAC functionality by OPA (open policy agent). - Refactored the LoRaWAN network architecture and enhanced throughput with AWS IoT Core and new data piepline architecture with Apache Kafka. - Developed an instance segmentation model for chicken identification using Mask R-CNN and vision transformer model. - Implemented image processing and feature engineering using binocular stereo vision and chicken recognition outcomes, extracting features of chickens in both 2D and 3D. - Estimated the weight of each chicken using extracted features with an XGBoost model; the trained model achieved an accuracy rate of 99%. - Established a data pipeline for a high-throughput real-time chicken image recognition system to predict the weight of chickens on the farm.

Software Engineer

Process&
全職
2021年8月 - 2022年1月
6 個月
- Launched a multi-tenant Kubernetes cluster on AWS, facilitating a scalable infrastructure for SaaS offerings. - Developed a Node.js-based application to optimize data scientists' workflow, enhancing productivity and collaboration. - Designed a workflow engine system for data scientists, significantly improving their daily workflows by automating repetitive tasks.

Software Engineer

2020年3月 - 2021年7月
1 年 5 個月
- Leading the team to improve document editor widely used in Judicial Yuan and Ministry of Justice. Responsible for optimizing the performance of these two editors and integrating them with several systems deployed in the government. - Leading the team to refactor server side (Express.js & Nestj.s) node.js application.

Software Engineer

2019年1月 - 2020年2月
1 年 2 個月
- Chatbot application development using Java and Vanilla javascript. - Integrate the training process for chatbot based on BERT model. - Responsible for Developing chatbot projects (backend) for Taiwan Mobile, National Health Insurance Administration, MasterLink Securities, American Family Life Assurance Company (Aflac) and CTC Japan.

學歷

Master of Science (MS)
地球科學/大氣組
2015 - 2018