Software Engineer

David Tran

US Citizen **********@*****.*** 303-***-**** GitHub: DavidTran303

Skills

● Python, Embedded Programming, C++, JavaScript, Git, Rails, GraphQL, SQL, Assembly

● Operating Systems, Microservices, Backend, AWS, Adruino, Agile, Docker, Flask, Machine Learning, Google Colab EXPERIENCE

Red Wire Space : Aerospace Software Engineer Intern August 2021 – September 2023

● Developed and optimized low-level kernel code for aerospace applications, achieving 98% high-performance execution efficiency.

● Developed and implemented Python-base parsing scripts to extract, analyze, and validate critical aerospace telemetry data flight software.

● Utilized various C++ low-leveling IDE and libraries such as Arduino, ZeroMQ, GBD & LLB, and cFS Amazon: Maintenance Technician 2 June 2020 - May 2021

● Troubleshooting and repairing electrical circuits, motor controls, and PLC systems to minimize equipment downtime and maintain production flow.

● Performed programming adjustments, diagnostics, and wiring repairs on PLC-controlled systems, improving reliability and system performance.

University of Colorado Denver : Python Teacher Assistant August 2019 – May 2020

● Instructed 80 students in Python programming fundamentals, debugging methods, and algorithm optimization to strengthen practical coding and problem-solving skills.

● Managed a GitHub repository supporting 80 or more users for assignment submissions and provided guidance on Git version control best practices.

PROJECTS

Smart Security Camera

Technologies: Arduino, ArduCam, PIR Sensor, ESP8266, C++, MQTT, Firebase

● Designed and implemented an IoT-based security system that detects motion and captures images using an ArduCam.

● Integrated an ESP8266 WiFi module to transmit images and alerts to a cloud-based platform (Firebase).

● Developed a real-time notification system to alert users via a mobile application when motion is detected.

● Optimized power consumption by implementing low-power modes for continuous surveillance. Robotic Hand - AI Vision Recognition and Tracking

Technologies: Adruino, OpenCV, Python, Hardware Coding

● Designed and Robotic an aluminum linkage structure with high-tolerance bearings and secured components using precision screws; mounted an Arduino Uno on the chassis to drive servo motors, sensors, and safety interlocks via optimized Embedded Python firmware.

● Implemented a 30 FPS OpenCV pipeline on Raspberry Pi 5 for color recognition, face detection, gesture classification, and object tracking; trained and deployed quantized TensorFlow Lite models (Rock–Paper–Scissors gameplay).

● Programmed state-machine logic for automated red-sphere capture and blue-sphere rejection, tuned PID controllers for joint stability, and conducted comprehensive hardware-software integration tests with loopback diagnostics and accelerated lifecycle validation.

2D to 3D Image Transformation

Technologies: Python, TensorFlow, PyTorch, OpenCV, NumPy, Matplotlib, MathLAB

● Developed a machine learning agent capable of converting 2D images into 3D representations using convolutional neural networks and autoencoders. Trained the model over several weeks with a large dataset, incorporating visualization tools to evaluate performance and depth mapping

Education

University of Colorado Denver Denver, Colorado August 2021 – August 2025 B.A. Computer Science, Certificate: NVIDIA - Building RAG Agents LLMS, NVIDIA - Based Natural Learning Language Processing Applications

Relevant Coursework: Data Structures and Algorithms, Operating Systems, Machine Organization and Programming, Artificial Intelligence, Mobile App Development, Software Engineering, User Experience/User Interfaces, Object-Oriented Programming

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