Lun-Kai Hsu

Lun-Kai Hsu is a software engineer in the San Francisco Bay Area and a founding engineer at Axiom (axiom.xyz), a zero-knowledge proof infrastructure company, since 2024. He holds a Master's in Computer Science from Stanford University (2014-2016) and an undergraduate degree in Electrical Engineering from National Taiwan University (2009-2013). Earlier roles include software engineer at Google (2016-2020, Cloud AI Platform/Kubeflow), Applied Intuition (2020-2022), and Parafin (2022-2024), plus an Algorithmic Trader Intern role at Jump Trading LLC in Chicago (2015). He represented Taiwan at the 49th International Mathematical Olympiad (IMO 2008).

Notes1

• Quant employment verification: CONFIRMED. The index enrichment of LinkedIn profile linkedin.com/in/lun-kai-hsu-04b42958 lists an 'Algorithmic Trader Intern' role at Jump Trading LLC, Chicago, dated 2015 (index-only claim, not independent primary-source confirmation). Identity is supported: the same profile carries Stanford MS Computer Science (2014-2016), NTU Electrical Engineering (2009-2013), Google 2016-2020, and current Axiom founding engineer, matching the IMO 2008 Taiwan contestant's Taiwan education path. Jump Trading is a proprietary high-frequency/algorithmic trading firm (jumptrading.com, Financial Services, Chicago), so the intern role is an actual quantitative trading internship, not a student program.Jun 1, 2015
• Current role: founding engineer at Axiom (axiom.xyz), working on zero-knowledge proofs, since 2024 - a move from conventional software engineering into ZK/crypto infrastructure.Jan 1, 2024
• Career timeline: Cardinal Blue Software (PicCollage) iOS SWE intern, Taipei, 2012; Research Assistant in machine learning at Academia Sinica, 2013-2014; Jump Trading Algorithmic Trader Intern, Chicago, 2015; Stanford TA (CS221 Fall 2015, CS228 Winter 2016); Google SWE, Mountain View, 2016-2020 (Cloud AI Platform, Kubeflow); Applied Intuition SWE 2020-2022; Parafin SWE 2022-2024; Axiom Founding Engineer 2024-present. All dates index-only.
• Education: Master's in Computer Science, Stanford University, 2014-2016; undergraduate in Electrical Engineering, National Taiwan University, 2009-2013 - the NTU years align with Taiwan IMO 2008 participation just before university.