# Ching-Fen Chuang > Software Engineer @ Smartly Location: San Francisco Bay Area, United States Profile: https://flows.cv/chingfen Engineer specializing in building systems that connect product, data, and business workflows. I enjoy turning ambiguous problems into practical technical solutions that generate measurable impact across teams. My background combines industrial engineering, data analysis, and software development. I work with product, finance, customer, and engineering stakeholders to clarify complex questions, align priorities, and design reliable systems that produce actionable data. Currently, I develop Smartly AI Studio, an enterprise platform for scalable creative workflows. I build UI in React and Tailwind, integrate backend services in Typescript and Python, implement vector search for semantic asset retrieval, and build Kafka-based pipelines that support billing workflows and feed analytics teams. I also work extensively on integrating and debugging large language model and image editing APIs, enabling scalable and reliable creative workflows for enterprise users. Areas of interest include * Backend and platform engineering * Event streaming and data pipelines * Metrics and analytics infrastructure * AI system integration and cross-team system design Outside of work, I enjoy reading, cooking, practicing yoga, and traveling. ## Work Experience ### Software Engineer, AI Product Lab @ Smartly Jan 2023 – Present | San Francisco Bay Area ### Solutions Engineer @ Smartly Jan 2021 – Jan 2024 | San Francisco Bay Area ### Customer Success Engineer @ Appier Jan 2018 – Jan 2021 | Taipei City, Taiwan * Bridge the gap between technical and non-technical stakeholders * Challenge: Cultivated data analytics as a service and data quality management for a Sequoia-backed software startup. Established service workflow and training materials for a team of 10 as one of the founding members. Strategy: Designed and implemented business intelligence solutions using SQL, Python, Data Studio, and cloud workstations for insight discovery. Defined product metrics, conducted systematic review, and provided recommendations to product and engineering teams. Results: • Led to 2x telemarketing conversion for an insurance provider. • Reduced insights reporting lead time from 1 week to 1 hour. • Achieved 20% improvement in system reliability and 30% reduction in resource consumption. • Awarded “Best Appier” in 2020 for introducing audience insights and meaningful metrics. ### Consultant @ Deloitte Jan 2018 – Jan 2018 | Taipei City, Taiwan Data scientist for Deloitte Taiwan helping clients with predictive modeling and risk assessment using SQL and Python. ### Junior Lean Six Sigma Consultant @ NuStratis Jan 2017 – Jan 2018 | Raleigh, North Carolina, United States Participated in a facility design review project where I built a simulation model on a production line with Simio to estimate schedule lateness, machine utilization, manufacturing waste and line sigma. ### Teaching Assistant @ North Carolina State University Jan 2016 – Jan 2016 | Raleigh, North Carolina, United States Assisted in teaching graduate-level courses including: • ISE 589 Simulation Modeling • ISE 762 Computer Simulation Techniques ## Education ### Master’s Degree in Industrial Engineering North Carolina State University ### Exchange Program in Japanese Studies The University of Osaka ### Bachelor of Science in Industrial Engineering and Management National Chiao Tung University ## Contact & Social - LinkedIn: https://linkedin.com/in/chingfen --- Source: https://flows.cv/chingfen JSON Resume: https://flows.cv/chingfen/resume.json Last updated: 2026-03-29