Ruth C.

Bio

Software developer, bootcamp graduate with hands-on experience in a project involving Embedded systems and AI. Fast learner, detail-oriented, with creative thinking and a strong interest in solving complex problems.

Skills

Python

C++

MQTT

Docker

ONNX

PyTorch

NVIDIA Jetson

TensorRT

DeepStream SDK

opencv.cuda

RTSP

MongoDB

Bootcamp Project

AgStream

Real-time data streaming platform for agricultural analytics

Mentored by: Next Silicon

Embedded Systems Bootcamp 2025 (Embedded)

Responsibilities:

Designed an AI inference pipeline for plant classification on edge device (NVIDIA Jetson).
Built a modular pipeline using DeepStream SDK and Python, including RTSP video decoding, CPU-based preprocessing (OpenCV), and GPU acceleration (C++ opencv.cuda) to avoid redundant memory transfers.
Integrated computer vision models (ResNet18 and MobileNet) converted PyTorch models to ONNX and optimized them with TensorRT for accelerated inference.
Inference results were stored in MongoDB via MQTT publishing for distributed deployment and offline analysis.
Development was done in a Linux environment using full Docker containers, with Git version control and code reviews by team peers and an experienced industry-grade team lead.

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Additional Projects

Implemented a web application for a car rental subscription system, following a three-tier architecture in C# (.NET Core).

Developed the business logic and data access layers using Entity Framework with SQL Server, ensuring modularity and separation of concerns.

Built and integrated a responsive user interface in React, using Redux Toolkit for global state management and login-based authorization.

English Level

Working Proficiency