Jacob Teo (Jacob Por Loong Teo) is a Singaporean software engineer at Cognition, where he works on Devin, the company's AI software engineer, and is a named co-author on Cognition's SWE-1.5 and SWE-1.7 model releases. He graduated from MIT in 2025 (Course 6-3, Computer Science and Engineering) after attending NUS High School of Mathematics & Science in Singapore. A three-time International Olympiad in Informatics contestant for Singapore, he won gold in 2016 and silver in 2015 and 2018. His earlier experience includes quantitative research and trading internships at Jump Trading, software engineering at Anysphere (Cursor) and Emerald Innovations, a crypto quant internship at AlphaLab Capital (now Caladan), and a 2017 Research Science Institute project on fillable arrays published at arXiv with Jelani Nelson and Huacheng Yu.
- Quant employment verification note: VERDICT UNRESOLVED. Evidence rests on the LinkedIn/index profile (index-only, unverified against the primary LinkedIn page). Reported roles: Quantitative Research Intern, Jump Trading Group (2024, Chicago) and Quantitative Trading Intern, Jump Trading LLC (2023, Chicago) - Jump Trading is a quantitative/market-making prop trading firm, so those titles are qant-finance roles if the employment is genuine. AlphaLab Capital (2020-2021) is a Singapore crypto prop trading/market-making firm (now Caladan), so that internship is also quant-finance adjacent. No independent primary-source document (offer letter, firm page, news) confirms these internships; identity is supported (LinkedIn url jacobtpl matches IOI/MIT traces). Because the roles are internship-level and the sole source is the enrichment index rather than the primary firm, the claim is UNRESOLVED rather than CONFIRMED.
- Jump Trading internships: Quantitative Research Intern (2024, Chicago; alpha research on HFT equities and mid-frequency options) and Quantitative Trading Intern (2023, Chicago; market microstructure and execution) - both index-only from LinkedIn, subject to 'Quant employment verification' note.
- Quant employment verification: UNRESOLVED - see dedicated note.
- Named author on Cognition's SWE-1.7 model release (published 2026-07-08) and SWE-1.5 (2025-10-29), indicating involvement in the company's frontier coding-model training pipeline, not just product engineering.Jul 8, 2026
- LinkedIn profile: Software Engineer at Cognition, described as 'Building Devin'. The enrichment index reported company_domain as docuhub.io, a placeholder that does NOT match Cognition (cognition.com/cognition.ai) - index-only claim, corrected on this row.
- AlphaLab Capital internship (2020-2021, Singapore) on automated market maker price mechanisms and mid-frequency crypto quant strategies; the firm rebranded to Caladan and is a crypto proprietary trading/market-making group (was one of the earliest digital-asset market makers) - so it is a genuine quantitative trading employer.
- Presented 'Inside DeepWiki' at a LangChain SF meetup (2026-08-21), describing the auto-generated codebase-documentation system behind Devin - a public-facing research/engineering role at Cognition.Aug 21, 2026
- 2017 Research Science Institute project with Jelani Nelson and Huacheng Yu produced arXiv:1709.09574 'Fillable arrays with constant time operations and a single bit of redundancy' (2017-09-27), authored under 'Jacob Teo Por Loong, NUS High School'.Sep 27, 2017
- IOI record: gold medal 2016 (Singapore), silver 2015, silver 2018; competed 2015-2018 for Singapore, student at NUS High School of Mathematics & Science.
- Software Engineer Intern at Anysphere (Cursor) in 2024, 'Building Cursor / Fine-tuning new models for Cursor Tab' - index-only from LinkedIn.
- MIT Course 6-3 (Computer Science and Engineering), Class of 2025; member of MIT's LMF (Living/Learning community) Class of 2025, described as 'a 6-3/18 from Singapore' (though born in the US and having lived in several countries).
- Won HackMIT 2023 as part of a team building 'Muse', a search tool (per teammate Dylan Walker's post).
Building Devin
- Alpha research on high-frequency equities and mid-frequency options - Built an options trade simulator and a performant regression pipeline
- Building Cursor - Fine-tuning new models for Cursor Tab
- Training on simulated trading, predictive modeling and execution strategies - Projects on US equity market microstructure, execution algorithms and models for high-frequency trad
- Developed a new and improved algorithm for human location tracking through radio signals - Researched on removal of signal interference from noisy raw data
- Analyzed price mechanisms of and developed infrastructure to trade on automated market makers on the blockchain - Researched strategies for mid-frequency cryptocurrency quantitat
Added features to a talent pool portal used for company HR operations
Competition record
Singapore · IOI