Yichen Lu

Incoming @ Alibaba Cloud | Information Systems, AI @ CMU

Pittsburgh, Pennsylvania, United States

About

I'm a full-stack engineer passionate about turning complex technical problems into solutions that actually make sense to people. With experience across cloud infrastructure, data systems, and product development, I enjoy bridging the gap between what technology can do and what businesses truly need. I've built production applications, led cross-functional requirement gathering, and collaborated with both technical and non-technical teams, always focusing on clarity, reliability, and real-world impact. I'm excited to bring this mindset to enterprise cloud architecture, where curiosity, communication, and engineering depth come together to help organizations grow.

Experience

  • Software Developer at ScottyLabs
    Dec 2024 - Dec 2025 · 1 yr 1 mo

  • Software Engineer Intern at GameChanger
    Jun 2025 - Aug 2025 · 3 mos

  • Web Developer at Carnegie Mellon University
    May 2024 - Aug 2024 · 4 mos

  • Technical Consultant at re:Bloom
    Sep 2023 - Dec 2023 · 4 mos

    - Served as the key technical lead for the website development project, utilized Figma for wireframing and Squarespace for development, directed the full lifecycle of website development for a women- and minority-owned ceramics business, boosted traffic by 35% and improved customer inquiries by 20% within three months. - Conducted weekly client consultations, designed an easy-to-follow documentation system tailored for non-technical business owners, enabling them to independently implement minor modifications, reduced their reliance on external technical support by 50%.

  • Research Assistant at Carnegie Mellon University - Statistics & Data Science
    Aug 2023 - Dec 2023 · 5 mos

    NSF GRFP Data Analysis and Insights Project - Used Python, R, SQL to process a 65,000+ record NSF GRFP dataset (1952-present); standardized 1,500+ institution names and 300+ study fields, improving data accuracy by 40%. - Implemented fuzzy matching techniques in R to standardize university names and applied a majority vote approach, increasing consistency by 35%.