Summary
Qianye Mei is a software engineer based in Sunnyvale with 1.5 years of hands-on experience in building AWS-backed ETL pipelines and RESTful APIs, and an overall 9-year technical background blending engineering rigor with creative tech. At Outward, Inc. he automated data workflows using Lambda, Batch, SQS/SNS and reduced query latency by 95% through a targeted schema refactor while also implementing CI/CD with Docker and Jenkins. He holds a Master’s in Computer Graphics from Carnegie Mellon and brings practical experience from projects in mixed reality and technical art—writing shaders and procedural PBR workflows that hint at a strong visual-computational intuition. Comfortable across system design, algorithms, and OOD, he bridges backend data engineering with interactive graphics work, making him adept at solving performance and UX-driven technical problems.
9 years of coding experience
Bachelor of Science (BS), Civil Engineering, Bachelor of Science (BS), Civil Engineering at Georgia Institute of Technology
Master's degree, Computer Graphics, Master's degree, Computer Graphics at Carnegie Mellon University
English, Japanese