- Programmed a simulation matching engine in C++ which handles various order types. Users can trade imaginary
- Utilized PyBind11 to wrap the matching engine implementation in Python and Flask to develop a RESTful API
- Stored data in a SQLite database and built the frontend application using HTML, CSS, and JavaScript with React
U
University Club
Researcher at Quant Illinois
February 2024 - present
U
University Club
AWS Certified Cloud Practitioner
October 2024 - October 2024
U
University of Illinois Urbana Champaign
Research Assistant
Urbana, IL, US
February 2024 - September 2024
B
Best Website or Mobile App
March 2023 - March 2023
Skills
Ability to Speak in PublicAgile MethodologyAlgorithmsAmazon Elastic Compute CloudAmazon S3Amazon Web ServicesArbitrageAssembly and InstallationBackendCascading Style Sheets (CSS)Cloud ComputingCloud EngineeringComputer ArchitectureCoordination SkillsC++ (Programming Language)DatabasesData StructuresDeep LearningFlask (Web Framework)Front End Software DevelopmentGame TheoryGitGithubHTMLHypersonic SpeedIdentity and Access ManagementInformation TechnologyInfrastructure ManagementJava (Programming Language)JavaScript (Programming Language)Knowledge of StatisticsLinear AlgebraMachine LearningMatplotlibMobile Application SoftwareNode.JsNumPyPandasPayment SystemsPresentationsProbability and StatisticsProbability TheoriesPython (Programming Language)PytorchReactJSReinforcement LearningResearch SkillsRestful APIsScheduling AlgorithmsScikit LearnSciPySimulationsSoftware EngineeringSQL DatabasesSQLiteStochastic ProcessTeam WorkingTensorflowTime SeriesTradingTypeScriptVerilogWeb ApplicationsXgboost