Oct 2023 – Sep 2024 · 11 mos · Menlo Park, CA · Hybrid

• eCommerce Premium Product / Dynamic Ads Ranking Team
• Led Temu Ads 7d GMV signal improvement projects and increased Ad performance (ROAS) by 50%
• Designed and built Product-Level Boosting in Ranking Backend to resolve new product cold start issue and provided features for advertiser to boost high-value products
• Built unique advertiser identifier for eCommerce Org. to unblock advertiser campaign level monitoring, auto-calibration improvement, and reduced advertiser SEVs and protected 14+M revenue loss (in 6 month run rate)
• Drove team onboarding by giving tech talks in Custom Segment AB testing

Jan 2023 – Oct 2023 · 9 mos · Austin, Texas, United States

• OCI Cloud Queue / Workflow Service Team (Messaging Org.) -
• Led new Realm/Region expansion which directly boost number of customer and revenue growth
• Led Load Balancer Throttling & Shape Migration, Service Health Monitoring, and Capacity Reduction projects, cutting down operation cost by 75% and decreased large-scale event probability by 80%
• Built distributed throttling, limits integration, and load test App to guarantee service availability and reliability
• Designed and built public telemetry and statistics collection mechanism
• Being Sr. reviewer of pull request, system design, and change ticket, and mentor of 4+ engineers
• , owner of control plane and gateway,
• Offered 5+ base practice/tech talks to drive team and org. training, built 10+ team Runbooks and DOCs
• Won MSBP MVP award in 2023 Q1, a prize which recognizes significant individual contribution and volunteer helping to colleagues in OCI
• Being escalation contact of critical distributed system issue (Team/Org. Level), Ex. Memory leak, backend cluster shutdown, sev1/sev2 customer tickets...etc
• Referred 200+ software engineers and supported OCI Principle/Sr. software engineering roles recruiting

Jun 2021 – Jan 2023 · 1 yr 7 mos · Austin, Texas, United States

• OCI Cloud Queue / Announcement / Streaming Service Team (Messaging Org.) -
• Designed and built Billing component to charge Oracle Queue Service APIs that supports 10M RPS
• Designed and constructed Capacity Ingestion Automation to append large-scale Paxos backend cluster
• Designed and implemented Leader Balancing Workflows to improve Paxos backend performance by 350%
• Led capacity reduction project that saved 75% hardware cost for low and mid-traffic realm/regions
• Built Canary, Alarm system, Secret Rotation Tool for Announcement service team
• Mentored 2+ engineers, gave 3 tech talk, and holding team office hour to resolve team member technical questions
• Contributed 2 best practice presentation to Messaging Org. on cloud Canary & Alarm System

Jun 2020 – Aug 2020 · 2 mos · Seattle, Washington, United States

• Amazon Fulfillment Technology DevOPs Team -
• Designed and constructed Data-Puller and Data-Scanner backend Lambda services (Native AWS), monitoring whole Amazon cloud services’ health with auto-correction feature
• Developed Unit Test, Integration Test, CI/CD pipelines to improve deployment efficiency by 300%, replacing manual cloud infrastructure build-up with typescripts in Amazon CloudFormation and CDK framework
• Pushed 2 services to Production within 12 weeks and scaled services to serve 10K+ AWS users per day
• Got full-time return offer after internship with highest permanence rating

Jul 2016 – Sep 2017 · 1 yr 2 mos

• Android Camera Software Team -
• Led 5+ pilot camera projects, designed and built 50+% of Camera feature for Android Camera Org. and collaborated with 7+ internal teams and 5+ external teams
• Designed and implemented 10+ flagship camera features (Ex. Face Detection, Video HDR) that account 80+% of smartphone revenue, and improved camera performance by 250% for 50+ million users across 20+ countries
• Designed, built, and defined Automatic Testing Tools and CI/CD pipeline for ASUS Android Camera Org.
• Developed Embedded Camera Softwares and Drivers based on Qualcomm/Intel Image Signal Processor and brought up camera-related hardware (Ex. Camera sensor and auto-focus engine) in Linux kernel
• Designed and Built ASUSTek Camera Frameworks & HAL Architecture
• Led and mentored 4 software engineers designing features, being Sr. reviewer of all camera code change
• Project participate in,
• 1. ASUS Zenephon 4 (Project Owner)
• 2. ASUS Zenephon 3 (ZE552KL/ZE520KL, Project Owner)
• 3. ASUS Zenephon 2 Laser (ZE500KL)
• 4. ASUS Zenephon 2 (ZE500CL)

Sep 2014 – Jun 2016 · 1 yr 9 mos

• Software Engineer in BSP(Board Support package) -
• 1. Camera firmware (Framework/HAL/Kernel) porting
• 2. Camera stress test tool(JAVA app) maintenance/development
• 3. Camera performance tuning and stability issue
• 4. CTS/CTS-Verifier tuning
• 5. Camera Function Design: Face Detect, Beautification, HDR, Video-HDR, EXIF, Raw Capture, Stability, Postview, Auto-Focus
• 6. Camera Sensor / VCM bringup
• 7. Worked on main camera software architecture & features and led 5+ junior software engineers

Oct 2013 – Sep 2014 · 11 mos · Pingtung County, Taiwan

• Managed the daily activities of 100+ soldiers and 20+ officers; evaluated their mental and physical health
• Lead company to complete military tasks efficiently and planned political courses and activities for team-building
• Won excellent performance award to recognize significant individual contribution and volunteer help to the company and soldiers

Jul 2012 – Aug 2012 · 1 mo · Hsinchu County/City, Taiwan

• Engineering & Manufacturing Information Technology Team -
• Used MATLAB, C and R languages to increase accuracy and computing performance of pattern recognition algorithms
• Analyzed defect patterns of circuit probing (CP) maps, designed new pattern recognition algorithms and applied image pre-processing like Rotation to improve accuracy rate by 200%
• Used time-complexity analysis to improve computing performance of pattern recognition algorithms by 800%

Sep 2011 – Aug 2013 · 1 yr 11 mos · Taipei City, Taiwan

• Statistical Machine Learning and Data Mining Lab -
• Developed Machine Learning Systems aimed at helping doctors diagnose breast/thyroid cancer
• Implemented IC images Pattern Recognition system for identifying problems in production line
• Achieved accuracy rate of 90%+ and self-training function on classification models for both systems

Jul 2010 – Jun 2011 · 11 mos

• Android Marketing Ads Team -
• Designed and created web-based wizard that enables 500+ users per day to create customized Android Apps
• Developed website, web services and database using JSP, JavaScript, MySQL, HTML
• Developed and designed several Android template & applications with Java