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Rachel T.

GitHub

Bio

Software Developer with hands-on experience in building efficient, high-performance systems and solving complex algorithmic challenges. Strong background in Modern C++, memory optimization, and collaborative development environments. Proven ability to work in fast-paced team settings and deliver production-grade solutions.

Skills

C++
CI/CD
CMake
Google Test
Google Benchmark
OpenMP
SIMD
Intel VTune profiler
GitHub Actions CI
PCA
K-Means

Bootcamp Project

Accelerating Graph Indexing for ANNS

Optimized graph-based indexing for approximate nearest neighbor search

Next Silicon

Mentored by: Next Silicon

Embedded Systems Bootcamp 2025 (Embedded)

Responsibilities:

  • parallel execution using SIMD

  • Integrated Machine Learning models (e.g., KMeans and PCA).

  • Profiled system performance with Intel VTune and flame graphs to identify bottlenecks.

  • Implemented comprehensive unit tests with Google Test to ensure code reliability.

  • Built a CI process with GitHub Actions and ran Google Benchmark for comparison against HNSW.

  • Worked according to standard development methodologies, including professional code review.

Rachel T. - Task Preview
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Additional Projects

2025 | Cloud-Based Artwork Management and Digital Coloring System | PaintArt

• Built a .NET Core REST API with core business logic and cloud-based file handling.

• Integrated AWS S3 for storage and OpenAI API for AI-driven features.

• Implemented JWT Authentication and worked with EF Core + MySQL.


2025 | Real-Time Embedded System | Sensor Reading and Response System

• Developed a real-time embedded system using temperature and distance sensors.

• Implemented control logic for a warning LED using GPIO.

• Designed and managed RTOS tasks based on priority.

• Developed in C using STM32CubeIDE.

English Level

Native