工作經歷
一月 2017 - Present
工程師 財團法人資訊工業策進會智慧系統所
1.Survey/Design architecture of MLOps and BI for new ML project: energy consumption prediction(2021)
2.Deploy/monitor services( MES, ERP adapter, Camera/speaker anomaly detection ) by writing helm chart, dockerfile and yaml to AWS, Azure and Kubernetes.(2020-2021)
3.Completed POC of smart building management cloud platform by python, ifcOpenShell and Kubernetes. Data format: BIM, cobie and Omni Class and TAICS (2020~2021)
4.Participate in data Standard set-up of TAICS smart building (2020~2021)
5.Participate in Intelligent building Evaluation Handbook of Taiwan Intelligent building Association. (2020~2021)
6.Completed implementation of ERP adapter for MES based on ISA-95 by python, MQTT, kubertnetes and MSSQL(2020)
7.Completed implementation data pipeline for speaker anomaly detection(detection accuracy 99%) by python, kubernetes(2020)
8.Assist III’s analyst to deploy airplane tracking solution to cloud platform for airport in Taiwan(2019~2020)
9.Project Manager of Cloud Platform of intelligent transportation system.(2019)
■Completed anomaly detection for surveillance based on image processing by python and openCV. Representation by Grafana and influxdb. (2019).
10.Proposal intelligent transportation system and cloud and edge computing of TDP(Technology Development Program) of Ministry of Economic Affairs in Taiwan. (2018).
11.National IoT Platform / WISE-PaaS (2017~2018 cooperate with advantech co. ltd)
■III side Project Manager of AFS(analytics framework services) which help developer implement their solution on cloud quickly by drag and draw style, running as serverless computing based on cloud foundry (2017~2018)
■Completed architecture design and implementation of AFS by Python, node-red, cloud foundry, and Microsoft azure. CI/CD by Jenkins and GitLab (2017~2018)
■Completed edge device system integration with cloud and ML model deployment as MLOps by edgeX, docker, consul and MQTT(2018)
12.Assist Taiwan’s steel company running their motor anomaly detection solution on AFS(2018~2019) P1:30 sensors P2:300 Sensors, P3:3000 Sensors
■there are 30 sensors on one motor, every sensor generates 8192 data/sec
■By using AFS MLOps to increase model accuracy from round1 (82%) to round3 (97%)
一月 2015 - 十二月 2016
工程師 財團法人資訊工業策進會巨量資料所
1.Project Manager of subproject 2(big data system management) of section 3 of Big data TDP(2015~2016).
2.Completed architecture design and implementation of dynamic scaling optimization for Hadoop and spark.(2016)
3.Assist analysts running their solution on Big data cloud platform to increasing 3% defect-free rate for Taiwan’s plastics company.(2015~2016)
八月 2011 - 十二月 2014
副工程師 財團法人資訊公會策進會雲端所
Dropbox liked Self-hosted Cloud Storage Service (2011~2014)
1.Completed 200+ selenium auto-test scripts.(2011)
2.Completed code integration system by SVN, Apache ANT and Maven.(2012)
3.Completed encrypted incremental backup system design and implementation
■data encrypted, split and combination by JAVA and Shell script. Data transmission by rsync.(2013)
4.Completed system error detector by JAVA, shell script, mysql and mongodb. Increasing customer satisfaction 70% (2013~2014)
5.Completed MYSQL migration for product upgrade from V1 to V2 in 2 mins(2014)
學歷
Shih Hsin University
M.S. Information Management
2006 - 2009
Tatung University
B.S. Computer Science and Engineering
2000 - 2006
已公開專利
- US-10460241-B2 Server and cloud computing resource optimization method thereof for cloud big data computing architecture
- US-9171050-B2 Data synchronization system and method for synchronizing data
- US-2019163154-A1 Device recommendation system and method
- US-10691515-B2 Testing in serverless system with autostop of endless loop
- US-2020151004-A1 Remote working system and working method thereof
- US-2020117544-A1 Data backup system and data backup method
- US-2017134238-A1 Physical machine management device and physical machine management method
