Wenchin Chuang Product Manager with a software engineering background dedicated to building Earth-friendly products Product Manager Remote (EU / Asia) [email protected] Work Experience Climatebase Fellow, Climatebase —present (Remote) - Participating in Cohort 4 of the Climatebase Fellowship. Product Manager & Founding Partner, lablaco —present (Remote) - Drove the conceptualization, development, and launch of the AR try-on feature in SPIN, a web3 retail marketplace. Collaborated closely with 3D designers to digitize garments into Phygital NFTs at Digital Fashion Week NYC, London, and Paris inGuided the successful execution of a meta-retail exhibition at Galeries

● At least 8 years of experience in data analysis, pipeline design and development, and tool building as a team member. ● In-depth knowledge of the Spark and Hadoop ecosystems, including Hadoop, HDFS, HBase, and more. ● Strong skills in designing and developing Big Data services on AWS and GCP. ● Extensive expertise in developing generic distributed systems, streaming processing, machine learning pipelines, and continuously improving ML models. Senior Data Engineer at Paktor x 17LIVE| AWS Big Data Specialist | Data Architect Singapore / Hong Kong / Taiwan [email protected] https

solution integrating with GraphDB, Chatbot & Avatar. Morrison Express Corp., Data Engineer, Jan 2021 ~ Jul 2022 • Orchestrated data pipeline, ETL process and API to connect diverse data systems and facilitate data migration. • Full accountability for overseeing data architecture and services spanning 70 offices across five continents. • Integrated AWS cloud services, optimizing applications with S3, Lambda, SQS, SNS, and ECS. ASUSTeK Computer Inc., Digital Analyst, Sep 2019 ~ Jan 2021 • Established data tracking and data standards for ASUS online products & social platforms in 70 countries. • Employed ML algorithms to analyze consumer behavior and data visualization.

Not using the cutting edge technologies in the work, but it can be swiftly brought up to speed. (it's my master degree). Experience Data Infra Engineer, Moneytree, Novpresent (~3y) Senior Software Engineer I, Nov~ Software Engineer II, ~ NovBuilt a Data Lakehouse solution on a full cloud environment (AWS). Involved with 3 new data products which made initial revenue stream for a new team with only 2 engineers. Lead a cross team initiative to democratize company crucial KPI as our dog food for business insight. Enable unit test on Spark locally, integrated with CI pipeline

歷 Backend Engineer • Cooby 四月八月 2023 | Taipei, Taiwan I am a backend engineer with a track record of designing and implementing robust, scalable, and cost-effective infrastructure solutions for web applications. My core competencies include: - AWS Infrastructure: Successfully migrated the Cooby backend infrastructure from Heroku to AWS, establishing a unified management system using Terraform for streamlined administration. Designed a highly available and scalable architecture utilizing AWS ECS to ensure optimal performance and reliability. Achieved a 75.5% reduction in overall costs on AWS. - Payment Processing: Integrated Stripe to enable payment processing, including

周立生 Li-Sheng Chou ThinkTron Ltd. R&D Section Lead Taipei City, Taiwan [email protected] Full-Stack / Containerization / AWS / GIS / System Analyst ISO27001:2013 Lead Auditor / Tech Manager / Project Management With over 6 years of experience in the field of disaster prevention, I have gradually transitioned into information development and architecture design . I have also served as an information development supervisor for 3 years, leading teams in the successful completion of multiple information systems for governments. My expertise includes full stack development and integration , containerization (Docker

Python Pandas Using ElasticSearch and Kibana for data tagging, aggregating and alerting Building a version control platform by Python Django for threat experts to easily trace their experiments and results Being in infra team of TrendMicro XDR endpoint data lake Maintaining 20+ Kubernetes clusters with thousands of nodes across AWS & Azure . Processing Data flow of GB/second level. Monitoring k8s, applications, databases by fluentd + prometheus + Grafana and deliver alerts accordingly Use Helm to manage plenty of Kubernetes plugins for databases, monitoring, networking, auotoscaling... etc. Managed authentication using AWS IAM/