Tang Sheng is an Android-focused software engineer and MS student in Computer Science at UC San Diego with 11 years of engineering experience across backend systems, AI-driven products, and mobile development. Currently interning at UrsaTech, he builds multimodal AI solutions and APIs for education and manufacturing, complementing prior work optimizing DB queries and scalable REST services for online trading at FNZ. He has hands-on experience with Java, C/C++, Python, Go, and Rust, and has contributed to high-value ad targeting and LLM-powered tooling during a TikTok internship. Tang combines strong academic performance (MS 3.97, BS 3.87) with practical production engineering—shipping microservices, collaborative workbooks, and critical API endpoints. He’s comfortable bridging backend architecture with mobile and AI workflows, often focusing on performance and reliability improvements that aren’t immediately visible to end users. Based in San Diego, he aims to apply his cross-domain skills to impactful, production-grade AI and backend systems.
11 years of coding experience
1 year of employment as a software developer
University of California, San Diego
Bachelor of Science - BS, Computer Science, GPA 3.87/4.00, Bachelor of Science - BS, Computer Science, GPA 3.87/4.00 at New York University
Contributions:7 commits, 1 PR, 6 pushes in 1 year 11 months
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