Software Engineer | Data Engineer | Product-Focused Technologist
Passionate about building scalable systems at the intersection of software engineering, data science, and product development. I architect end-to-end solutions—from distributed systems and ML pipelines to user-facing applications—that transform complex data into actionable business insights and exceptional user experiences.
USC M.S. Computer Science - Applied Data Science (May 2024)
USC B.S. Industrial & Systems Engineering, Minor in Mobile App Development (May 2023)
Modern frontend app to track income/expenses, manage categories, visualize spending, and export reports. Built with React, TypeScript, and Tailwind; features AI-assisted categorization, charts, budgets, and dark mode.
A production-ready distributed storage system built with Raft consensus algorithm, featuring Spring Boot API, React frontend, and comprehensive monitoring stack.
Developed a dynamic methodology for vaccine allocation, segmented by region, age, and timeframe, using a time-sensitive, age-structured compartmental model for COVID-19 vaccine allocation optimization in the United States.
"Swoleboi" - sophisticated real-time exercise pose analysis using OpenCV and MediaPipe.
A production-ready movie recommendation system that combines content-based filtering and collaborative filtering approaches to deliver personalized movie suggestions with a modern, responsive web interface.
CNN and transfer learning models to identify frost in Martian terrain images using HiRISE dataset.
Comparison of supervised, semi-supervised, unsupervised, and active learning techniques.
iOS mobile application for creating, organizing, and studying flashcards with data persistence.
I co-founded SustainG, a B2C platform with open-source API that aims to build a sustainable college community, simplifies energy-saving process, and further empowers smart device ecosystem on college campus.
Product ideation case study for a developer-first API analytics platform that reduces debugging time by 60% while handling 10M+ calls daily. The solution addresses the engineering time waste problem where teams lose 15-20 hours weekly debugging API issues across microservices architectures.
Comprehensive product management case study analyzing Microsoft Teams' technical backlog prioritization using the RICE framework. Features detailed analysis of AI-powered meeting recaps, cross-platform sync fixes, and feature prioritization for 320M+ MAU platform.
Product case study for an AI-powered meeting notes platform that transforms how teams capture, organize, and act on meeting insights. Features intelligent note-taking, action item tracking, and seamless integration with existing workflows.
Product management case study for Meta/Instagram product strategy. InstaFlow transforms passive scrolling into intentional discovery through AI-powered goal-based feeds, time-boxed sessions, and creator monetization, addressing the $2.3B wellness app market opportunity.
Hi, I'm Cici Chang (legal name: Chang Chang), a software engineer and data scientist who thrives at the intersection of technology and product innovation. My background spans the full stack—from architecting distributed systems and building ML pipelines to developing user-facing applications and managing technical product roadmaps.
With experience at Energy Solutions, Wanb Express, Amgen, Bain & Company, JD.COM, and Chinasoft International, I've delivered solutions that process terabytes of data, handle 500+ concurrent requests, and drive measurable business impact. I'm passionate about translating complex technical capabilities into products that solve real-world problems.