Skip to content
View traelynbrasseaux's full-sized avatar
1 follower · 1 following

Achievements

Achievement: Pull SharkAchievement: YOLO

Achievements

Achievement: Pull SharkAchievement: YOLO

Block or report traelynbrasseaux

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
traelynbrasseaux/README.md

Traelyn Brasseaux — ML & Computer Vision Engineer

M.S. Computer Engineering | Junior Software/ML/CV Engineer | Researcher

What I Build

Production computer vision pipelines — object detection, activity recognition, and model optimization from training through deployment.

Background

  • 🎓 M.S. Computer Engineering
  • 🔬 Research in Hyperdimensional Computing for Human Activity Recognition (HAR)
  • 🧠 ML systems: PyTorch, YOLO, TensorRT, ONNX, FastAPI
  • ⚡ Hardware: VLSI, CMOS, Digital Design, Verilog
  • 📐 CV: Object detection, pose estimation, inference optimization

Currently

  • Building ML pipelines for computer vision applications
  • Exploring edge deployment and optimized inference
  • Open to select consulting in CV systems, ML pipelines, and Hardware Design

Tech Stack

Python PyTorch OpenCV C++ Docker GCP Vivado Virtuoso

📫 traelyn.brasseaux@gmail.com · https://www.linkedin.com/in/traelyn-brasseaux/

Popular repositories Loading

  1. HAR_HDC HAR_HDC Public

    Hyperdimensional Computing for Human Activity Recognition

    Python 1

  2. traelynbrasseaux traelynbrasseaux Public

  3. vigil_cv vigil_cv Public

    Edge anomaly detection for video streams with multi-backend inference benchmarking (TensorRT, ONNX, PyTorch)

    Python

  4. docvault docvault Public

    End-to-end Retrieval-Augmented Generation pipeline built from scratch. PDF ingestion, three chunking strategies (fixed, recursive, semantic), sentence-transformer embeddings, FAISS vector search, o…

    Python

  5. wildwatch wildwatch Public

    Wildlife camera trap image classification

    Python