# Li Liu > Solutions Engineer (Ads) @ TikTok | MBA & MSE @ CMU | Product & Project Management, MLOps, DevOps, Full-stack Location: New York, New York, United States Profile: https://flows.cv/liliu As the Studio Project Lead at CMU, I've honed my expertise in machine learning and product management, leading a team to develop predictive systems for a major grocery retailer. Our collaboration, leveraging MLOps and technical skills, notably improved decision-making efficiency. Currently, I am completing dual master’s degrees in Software Engineering and Business Administration at Carnegie Mellon University, specializing in Business Technologies and Strategy. My educational journey at Carnegie Mellon is a testament to my commitment to innovation and leadership in tech. The project work completed during my tenure with the CMU team showcases my ability to deliver compelling business solutions through effective stakeholder communication and data-driven decision-making. I am driven by a vision to integrate cutting-edge technology with strategic business insights, striving for impactful outcomes in complex retail environments. ## Work Experience ### Solutions Engineer @ TikTok Jan 2024 – Present | New York City Metropolitan Area ### Studio Project Lead @ CMU | Master of Software Engineering Jan 2023 – Jan 2023 | Pittsburgh, Pennsylvania, United States Leadership and Project Management • Led a team of 5 students in an out-of-shelf prediction system development for a large grocery retail client with a network of 250+ stores across multiple states. • Facilitated stakeholders’ communication among five global teams. Reduced communication delays and drove alignment by implementing regular virtual meetings; increased decision-making efficiency by 300%. Machine Learning Product Management • Conducted four rounds of stakeholder interviews to uncover retail operational pain points. Derived specific ML system requirements to meet business objectives. • Analyzed client’s financial data; Built a compelling business case to persuade executives of the feasibility of an ML solution. • Coordinated machine learning engineering efforts. Prepared data for model input, evaluated algorithms’ functional suitability, and constructed MLOps pipelines on Azure; ML solution captured 30% of opportunity, generating more than 80% ROI. ### Technical Product Manager Intern @ ByteDance Jan 2022 – Jan 2022 | Beijing, China • Defined and documented product requirements for code review and repository organization settings features for a distributed version control product. The product supported over 20,000 developers at ByteDance after launching. • Executed agile methodologies to drive efficient project management, including sprint planning, backlog grooming, and daily stand-ups; facilitated cross-functional team collaboration and aligned business objectives with product specifications. • Conducted competitive analysis on the Chinese enterprise DevOps market, identifying and analyzing product gaps from six competitors. Provided insights to inform strategic planning for distributed version control Product-as-a-Service roadmap. ### Software Engineer II @ Minerva Analytics Jan 2018 – Jan 2022 Innovation and Initiative • Designed and built a staging environment for all of Minerva’s portfolio products; streamlined deployment and quality assurance workflows and decreased production code bugs by 80%. • Spearheaded adoption of infrastructure-as-code practices to deploy cloud-native microservices; shortened development operations-related maintenance time needed by 70%. • Deployed and integrated credential storage vault into the company’s tech stack; eliminated 95% of hard-coded credentials and enabled intuitive credential access and storage for internal personnel. Product Design and Development • Interviewed internal customers to articulate product requirements for a platform to streamline newsletter management flow. The product managed 100% first-party newsletters and over 615,000 subscribers and generated 20% of revenue at Minerva. • Identified data analysts’ pain points in existing SQL workflow, then designed and implemented a new workflow management product using Airflow; increased data analysts’ SQL error detection and response efficiency by 50%. ### Front-End Intern @ Narvar Jan 2017 – Jan 2017 | San Francisco Bay Area ## Education ### Master of Software Engineering Carnegie Mellon University School of Computer Science ### Master of Business Administration - MBA in Business Technologies, Marketing, Strategy Carnegie Mellon University - Tepper School of Business ### Bachelor's degree in Computer Science & Pure and Applied Mathematics Boston University ## Contact & Social - LinkedIn: https://linkedin.com/in/li-liu-96737113b --- Source: https://flows.cv/liliu JSON Resume: https://flows.cv/liliu/resume.json Last updated: 2026-03-29