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Udit Sanghi

Trader @ Jane Street
Jane Street · Hong Kong SAR · operator
IOI Silver Medals For India In 2020 And 2021Codeforces International Grandmaster (max 2681)Quantitative-trading Internships At Optiver (2023) And Jane Street (2024)Applied Cryptography Research At Huawei Shield Lab; NUS Teaching Assistant

Udit Sanghi is a competitive programmer from Kanpur, India, who represented India at the International Olympiad in Informatics (IOI) in 2020 and 2021, winning silver medals at both. He studies Computer Science at the National University of Singapore (matriculated 2021). His listed work includes quantitative trading internships at Optiver (Amsterdam, 2023) and at Jane Street (Hong Kong, 2024), research in applied cryptography at Huawei's Shield Lab (Singapore, 2022), and undergraduate teaching assistantships at NUS (2022-2024). A LinkedIn index profile lists him as a Quantitative Trader at Jane Street in Hong Kong SAR from 2025; that role is index-only and not independently confirmed.

Udit Sanghi (handles: T1duS on Codeforces/AtCoder/GitHub, mathecodician on CodeChef) is from Kanpur, India, and attended Bhavan Vidyalaya before studying Computer Science at the National University of Singapore from 2021. He won silver medals for India at IOI 2020 (rank 74) and IOI 2021 (rank 52), a bronze at APIO 2020, and was 3rd at Google Code-In 2018; he reached Codeforces International Grandmaster (max 2681). His listed employment is quantitative-trading internships at Optiver (2023) and Jane Street (2024), and research/teaching roles at Huawei Shield Lab and NUS.

Details
LocationHong Kong SAR
Company sitejanestreet.com
UniversityNational University of Singapore
Competitive programmingAlgorithmsData structuresC++Applied cryptographyHomomorphic encryption
Notes
  • Quant employment verification: UNRESOLVED. The employer record shows quantitative-trading roles at Jane Street (Quantitative Trader, Hong Kong, from 2025; Quantitative Trading Intern 2024) and Optiver (Quantitative Trading Intern, Amsterdam, 2023), but this comes only from index/aggregator-derived career data and caller-supplied leads, not from a primary source that this run could read. Jane Street and Optiver are both genuine quantitative trading / market-making firms (Jane Street is a proprietary trading firm; Optiver is a listed market maker), so the employer classification is consistent with quant finance; the unsupported part is that a primary page confirming Udit Sanghi held those specific roles was not reachable. Retaining uncertainty.
  • Identity is supported across independent platforms: IOI statistics page lists Udit Sanghi representing India at IOI 2020 and 2021, the same handle T1duS appears on Codeforces/AtCoder/GitHub/Topcoder, tying the competitive-programming identity to the LinkedIn slug uditsanghi.
  • Won silver medals for India at IOI 2020 (rank 74, 357.94/600) and IOI 2021 (rank 52, 330/600); also bronze at APIO 2020 and 5th at the Indian Olympiad in Informatics Training Camp (IOITC) 2018.
  • Reached Codeforces International Grandmaster (max rating 2681) under handle T1duS, placing him in the top tier of competitive programmers.
  • Studied Computer Science at the National University of Singapore from 2021 (BComp Computer Science), graduating 2025; attended Bhavan Vidyalaya before that.
  • Was an undergraduate Teaching Assistant at NUS (2022-2024) across IT5003 Data Structures and Algorithms, CS2040C, CS3230 Design and Analysis of Algorithms, and CS5234.
  • Worked as an Applied Cryptography Research Assistant at Huawei Shield Lab (Singapore, 2022), on the homomorphic encryption library, optimizing polynomial multiplication over finite fields.
  • Third place at Google Code-In 2018 as a finalist for CCExtractor, completing 36 open-source tasks in two months - an early open-source contribution signal.
  • Authored a personal narrative blog post about his programming journey ('Udit's Journey with Programming', 2020), documenting his path into competitive programming before university.Sep 2020
  • Ran a free competitive-programming mentorship program publicized via Codeforces blog entries, an early teaching/community activity predating the NUS TA roles.

Competition record

India · IOI

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