David Gray

Saint Louis, MO 63143 · davidgraymi@gmail.com · +1 (636) 734-9842 · https://github.com/davidgraymi

Technical Skills & Experience

Programming Languages: C, C++ (Expert), Ada, Python, Rust (Advanced), C#, JavaScript, Go, Java(Intermediate)

Frameworks & Libraries: TensorFlow, PyTorch, Keras, Scikit-learn, Pandas, Django, Vue, Flutter

Development Tools: Git (Expert), Docker, Bazel (Advanced), Kubernetes, Jenkins, GitLab, Linux, Bash

AI Specialization: Computer Vision, Reinforcement Learning, GAN’s

Databases & Cloud: AWS, Elasticsearch, Firebase, GCP, PostgreSQL, SQLite

Relevant Experience

BOEING Saint Louis, MO

Software Engineer June 2021 – Current

Deep Linux knowledge for cloud pipelines and RTOS engineering with cryptography and anti-tamper design experience.

Secured multi-million dollar military contracts for Boeing’s weapon product lines.

Developed Go https server to streamline integration testing, reducing testing time by 10X.

Created a portable system library for any OS or bare metal systems using C++, Docker, Bazel, and GitLab, reducing engineering hours by 4X.

Engineered a processors software stack from the ground up with a kernel, task scheduler, and communication protocols for a globally distributed weapon system.

Designed, conducted, and analyzed system requirements-based tests for the SLAM-ER’s formal qualification test event.

Led engineering effort for critical cross-program missile interfacing application, improving real-time telemetry decoding and control functionalities, using C#, WPF, and XAML.

GURULLA Springfield, MO

Full Stack Engineer January – December 2020

Developed Flutter-based iOS and Android SaaS applications with Firebase backend.

Emphasized scalable architecture and user-centric design to enhance user experience.

Utilized Firebase backend for database management and real-time communication.

Missouri State University Springfield, MO

Data Engineering Intern July - August 2020

Created data processing and machine learning pipelines to analyze MRI scans of traumatic brain injuries.

Assisted graduate research assistants to create reports in published works.

O’REILLY AUTOPARTS Springfield, MO

Quality Assurance Intern June– August 2020

Executed integration tests by querying telemetry databases with SQL on the cloud.

Education

Missouri State University Springfield, MO

Bachelor of Science in Computer Science May 2021

CS 350 Final Project

Implemented a real-time sign language to text translator application using pipelined NLP techniques in AI at the core. This was built with TensorFlow, C++, and Python, served on an AWS EC2 instance, with a web socket connection to a light frontend application that sends live video to the backend. The model architecture was a feedforward CNN with only 2000 parameters and five hidden layers. It was trained using supervised learning and validated using Scikit-learns cross validation. I was able to achieve 98.8% prediction accuracy.

Bindersnap Personal Project

Created a document hosting, version control, revision, and consensus management platform. This product allows enterprises to parallelize revision and consensus workflows by leveraging the cloud. It also features a frontend webpage for search that utilizes Elasticsearch as the engine. All created with Go, Typescript, and Vue. Deployed on AWS.