Katrina(Yuqiao) Hu

LeetCode GitHub LinkedIn adz3qw@r.postjobfree.com 412-***-****

EXPERIENCES

CARNEGIE MELLON COMPOSABLE SYSTEMS LAB RESEARCH ASSISTANT November 2022 Present Pittsburgh, U.S.

Ô Wrote shell scripts to parse options flags, extract module arguments & dump modules; Coded microbenchmarks on function calls, memory access, integer arithmetic in C/C++ & compiled to Wasm to analyze engine performance, data included in academic paper Ô Designing a tool to duplicate a function in Wasm module to measure VM compilation time 15 440 DISTRIBUTED SYSTEMS COURSE TEACHING ASSISTANT August 2023 Present Pittsburgh, U.S.

Ô Made homework questions on systems concepts like IP network routing; held office hours each week to guide/debug students’ projects in Golang, resolving various types of errors and race conditions when implementing key-value store, Live Sequence Protocol (lie between UDP & TCP), bitcoin system with speedup of multiple processors and so on RUBRIK, INC SOFTWAREENGINEERING INTERN

June 2023 August 2023 Palo Alto, U.S.

Ô Architected & executed end-to-end Cross-Origin Resource Sharing integration on Rubrik Security Cloud, project involving MySQL database design, gRPC, GraphQL APIs, HTTP filter, enabling organization-wise configurations & allowing whole company to upgrade to latest version of cloud, which requires support of CORS

Ô Coded to schedule datastore migration with disk mapping immediately after instant recovery from snapshot using Scala, Go, Java, SQL; added REST APIs for customers MORNINGSTONE TECH MACHINE LEARNING INTERN

June 2021 – September 2021 Beijing, China

Ô Researched and constructed LSTM and random forest models to predict the futures market settlement price using PyTorch & scikit-learn, achieving 65% accuracy on average Ô Built infrastructures with Python for training, cross-validation, hyperparameter tuning, testing, and visualization, and incorporated in company’s web app using Django PROJECTS

PARALLEL PROGRAMMING PROJECT C++

August 2023 Present

Ô Exploited parallel fractal generation using pthreads & ISPC respectively with interleaved assignment of tasks, achieving 30x speedup; vectorized code using SIMD intrinsics; measured and reasoned about the performance of parallel programs UCHICAGO TRADING COMPETITION PYTHON

Feburary 2022 April 2022

Ô Led a team of 4 to make markets on lumber futures market, implement Black Scholes Model to trade options on 5-10 simulations of an underlying, develop portfolio allocation algorithm based on Risk Parity Allocation & Black-Litterman, ranking Top 15 among 50+ teams COMPUTER SYSTEM PROJECTS C

September 2021 December 2021

Ô Implemented an allocator with malloc, free, realloc, calloc functions to manipulate memory; eliminated footers in blocks, coalescing, and fitting, with 74% utilization, 9300 throughput Ô Created a shell simulator that evaluates command lines, maintains job lists, controls foreground and background jobs with signals handler & I/O redirection EDUCATION

CARNEGIE MELLON

UNIVERSITY

B.S. in Computer Science

Minor in Music Technology

May 2024 Pittsburgh, U.S.

Cum. GPA: 3.7 / 4.0

COURSEWORK

• Parallel Programming

• Distributed Systems

• Cloud Computing

• Putnam Seminar

• Monte Carlo Algorithms

• Applied Machine Learning

• Algorithms Design & Analysis

• Probability for CS

SKILLS

PROGRAMMING

Proficient:

Python • Java • C • Go

Experienced:

Scala • C++ • SML • HTML •

JavaScript • SQL

Familiar:

C# • Assembly • Swift • CSS •

TypeScript

LIBRARIES/FRAMEWORKS

AWS • Azure • GCP • Docker •

Kubernetes • UNIX • MySQL •

Neo4j • MongoDB • scikit-learn

• Django • Angular

ACTIVITIES

• Capture The Flag (team

leader) 2023 CMU

• UChicago’s Trading

Competition (team leader)

2022 UChicago

• Above and Beyond Computer

Science Program 2022 Meta

HONORS

• Back-End Developer

Certificate Meta

• Dean’s List CMU

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