Schwinn Saereesitthipitak

Technical Co-founder at Sidenote (YC S23)
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Contact Information
us****@****om
(386) 825-5501
Location
Stanford, California, United States, US
Languages
  • English Native or bilingual proficiency
  • Thai Native or bilingual proficiency
  • Chinese Limited working proficiency

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Bio

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Experience

    • United States
    • Technology, Information and Internet
    • 1 - 100 Employee
    • Technical Co-founder
      • Mar 2023 - Sep 2023

      - Developed Sidenote, an LLM-powered Chrome Extension that automates meeting follow-ups — used at Notion, PagerDuty, etc. - Optimized LLM inference backend, achieving over 10x speedup against baseline through query parallelism. - Developed Sidenote, an LLM-powered Chrome Extension that automates meeting follow-ups — used at Notion, PagerDuty, etc. - Optimized LLM inference backend, achieving over 10x speedup against baseline through query parallelism.

    • United States
    • Software Development
    • 1 - 100 Employee
    • AI Researcher
      • Mar 2023 - Jun 2023

      - Developed and evaluated "Hedgehog", a novel efficient attention model that can fit SoTA context lengths (100k+) on a V100 GPU. - Outperformed other efficient attentions by up to 30% on the LRA benchmark. - Developed and evaluated "Hedgehog", a novel efficient attention model that can fit SoTA context lengths (100k+) on a V100 GPU. - Outperformed other efficient attentions by up to 30% on the LRA benchmark.

    • United States
    • Higher Education
    • 200 - 300 Employee
    • Cryptography Researcher
      • Oct 2022 - Jan 2023

      - Proposed and developd a novel cryptographic scheme as first author in "Cassiopeia: Practical On-Chain Witness Encryption" (FC WTSC '23). - Implemented off-chain PVSS scheme in Rust (using BN254 pairings) and the zkSNARK circuit in Circom DSL. - Proposed and developd a novel cryptographic scheme as first author in "Cassiopeia: Practical On-Chain Witness Encryption" (FC WTSC '23). - Implemented off-chain PVSS scheme in Rust (using BN254 pairings) and the zkSNARK circuit in Circom DSL.

    • United States
    • Computer Hardware Manufacturing
    • 700 & Above Employee
    • Deep Learning Algorithm Engineering Intern
      • Jun 2022 - Sep 2022

      - Prototyped and ran experiments with different optimized Tabular GAN architectures and patched a CPU bottleneck that increased throughput by 10x on high-dimensional datasets with millions of rows. - Augmented the SDGym benchmarking framework to allow for multi-GPU data preprocessing, training and sampling, along with checkpointing functionality. - Prototyped and ran experiments with different optimized Tabular GAN architectures and patched a CPU bottleneck that increased throughput by 10x on high-dimensional datasets with millions of rows. - Augmented the SDGym benchmarking framework to allow for multi-GPU data preprocessing, training and sampling, along with checkpointing functionality.

    • Thailand
    • IT Services and IT Consulting
    • 100 - 200 Employee
    • DeFi Quant Researcher
      • Apr 2021 - Aug 2021

      - Developed an optimization algorithm to lower rebalancing costs through CFMM decentralized exchanges by up to 7x for multi-asset cryptocurrency portfolios. - Prototyped a new DeFi protocol that provides an efficient hedging mechanism for liquidity miners.

    • Associate Data Scientist
      • Dec 2020 - Apr 2021

      - Implemented a LightGBM-based nationwide Unilever product demand forecasting model that outperformed human counterparts by over 5%. - Redesigned backtesting pipeline to use Guild.ai for more efficient model tuning and performance analysis.

    • AI Research Intern (Computer Vision)
      • Aug 2020 - Dec 2020

      - Prototyped a financial statement parser on scanned images for credit loan application screening using deep text recognition models. - Developed a module to detect and parse information on Thai ID cards from photos with OpenCV.

    • Project Lead Developer
      • Jun 2019 - Aug 2020

      - Led design and implementation of a new open-source version of Programming.in.th, a national online programming education platform - Pioneered an efficient and modular back-end infrastructure for evaluating user-produced source code on algorithms and data structures problem sets (written in Golang) - Developed a sync client and REST API backend for the website using Firebase for communicating with the code evaluation backend (written in Typescript) - The platform is used by top local… Show more - Led design and implementation of a new open-source version of Programming.in.th, a national online programming education platform - Pioneered an efficient and modular back-end infrastructure for evaluating user-produced source code on algorithms and data structures problem sets (written in Golang) - Developed a sync client and REST API backend for the website using Firebase for communicating with the code evaluation backend (written in Typescript) - The platform is used by top local schools for computer science problem sets and many students nationwide for learning algorithms and data structures Show less - Led design and implementation of a new open-source version of Programming.in.th, a national online programming education platform - Pioneered an efficient and modular back-end infrastructure for evaluating user-produced source code on algorithms and data structures problem sets (written in Golang) - Developed a sync client and REST API backend for the website using Firebase for communicating with the code evaluation backend (written in Typescript) - The platform is used by top local… Show more - Led design and implementation of a new open-source version of Programming.in.th, a national online programming education platform - Pioneered an efficient and modular back-end infrastructure for evaluating user-produced source code on algorithms and data structures problem sets (written in Golang) - Developed a sync client and REST API backend for the website using Firebase for communicating with the code evaluation backend (written in Typescript) - The platform is used by top local schools for computer science problem sets and many students nationwide for learning algorithms and data structures Show less

    • United States
    • Higher Education
    • 100 - 200 Employee
    • Task Author
      • Sep 2019 - Nov 2019

      Developed task statements, solutions and test cases for the ICPC Asia Bangkok Regional Round, a highly prestigious international programming competition with participants from Asia's top-ranked universities in computer science Developed task statements, solutions and test cases for the ICPC Asia Bangkok Regional Round, a highly prestigious international programming competition with participants from Asia's top-ranked universities in computer science

Education

  • Stanford University
    Bachelor's degree, Computer Science, Electrical Engineering
    2021 - 2025
  • NIST International School
    IB Diploma (Valedictorian), 44/45
    2007 - 2020

Community

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