Jessica Qiu

Software Engineer

San Jose, California, United States0 mo experience

Key Highlights

  • Strong foundation in machine learning and parallel computing.
  • Hands-on experience with CUDA and Python in research.
  • Proficient in computer graphics and 3D modeling.
Stackforce AI infers this person is a Software Engineer with a focus on Machine Learning and Parallel Computing.

Contact

Skills

Core Skills

CudaParallel ComputingPython (programming Language)Machine LearningComputer Graphics

Other Skills

C (Programming Language)MatplotlibResearch SkillsAutodesk MayaJava

Experience

0 mo
Total Experience
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Average Tenure
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Current Experience

Apple

Software Engineer Intern

May 2025Present · 1 yr · Sunnyvale, California, United States · On-site

Cloudflare

Software Engineer Intern

May 2024Aug 2024 · 3 mos · Austin, Texas, United States · On-site

海飞科 - hexaflake

Software Engineer Intern

Jun 2023Aug 2023 · 2 mos · Remote

  • Implemented algorithms like radix sort and prefix scan through parallel computation with CUDA on the GPU
  • Learned ways of optimizing performance, including techniques like ping pong buffer, preventing bank conflicts, and continuous memory access
  • Profiled code with metrics like achieved occupancy, compared performances with versions on the CPU and the company's GPU
C (Programming Language)CUDAParallel Computing

Cosmos uci cluster (ml and data science)

Participant of COSMOS Summer Program

May 2021Jun 2021 · 1 mo · Remote

  • - Learned about machine learning and physics, collaborated with other students on a research project involving charged particle physics and simulating charged particles' interactions using Python and Matplotlib
Python (Programming Language)Matplotlib

Franklin research internship program (frip)

Research Intern at Franklin Research Internship Program (FRIP)

May 2021Jun 2021 · 1 mo · Remote

  • Conducted research and wrote a paper on predicting Parkinson's disease using speech analysis with machine learning using Python
  • Researched different models, processed and normalized datasets, experimented and compared data analysis results with accuracy scores between Support Vector Machine (SVM) and neural network models
Machine LearningPython (Programming Language)Research Skills

Penn computer graphics at upenn

Participant of UPenn Computer Graphics Summer Program

Jul 2020Aug 2020 · 1 mo · Remote

  • - Learned about computer graphics basics through 3D modeling, collaborated with group members to develop a storyline for character figures we created using Maya
Computer GraphicsAutodesk Maya

Education

Carnegie Mellon University

Jan 2022Jan 2026

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