73 lines
3.9 KiB
HTML
73 lines
3.9 KiB
HTML
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<p><strong>David Gray</strong></p>
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<p>Saint Louis, MO 63143 · davidgraymi@gmail.com · +1 (636) 734-9842 ·
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<a
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href="https://github.com/davidgraymi"><u>https://github.com/davidgraymi</u></a></p>
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<p><strong>Technical Skills & Experience</strong></p>
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<p><strong>Programming Languages:</strong> C, C++ (Expert), Ada, Python,
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Rust (Advanced), C#, JavaScript, Go, Java(Intermediate)</p>
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<p><strong>Frameworks & Libraries:</strong> TensorFlow, PyTorch,
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Keras, Scikit-learn, Pandas, Django, Vue, Flutter</p>
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<p><strong>Development</strong> <strong>Tools:</strong> Git (Expert),
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Docker, Bazel (Advanced), Kubernetes, Jenkins, GitLab, Linux, Bash</p>
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<p><strong>AI Specialization:</strong> Computer Vision, Reinforcement
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Learning, GAN’s</p>
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<p><strong>Databases & Cloud:</strong> AWS, Elasticsearch, Firebase,
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GCP, PostgreSQL, SQLite</p>
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<p><strong>Relevant Experience</strong></p>
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<p><strong>BOEING</strong> Saint Louis, MO</p>
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<p><strong>Software Engineer</strong> June 2021 – Current</p>
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<p>Deep Linux knowledge for cloud pipelines and RTOS engineering with
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cryptography and anti-tamper design experience.</p>
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<p>Secured multi-million dollar military contracts for Boeing’s weapon
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product lines.</p>
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<p>Developed Go https server to streamline integration testing, reducing
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testing time by 10X.</p>
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<p>Created a portable system library for any OS or bare metal systems
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using C++, Docker, Bazel, and GitLab, reducing engineering hours by
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4X.</p>
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<p>Engineered a processors software stack from the ground up with a
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kernel, task scheduler, and communication protocols for a globally
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distributed weapon system.</p>
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<p>Designed, conducted, and analyzed system requirements-based tests for
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the SLAM-ER’s formal qualification test event.</p>
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<p>Led engineering effort for critical cross-program missile interfacing
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application, improving real-time telemetry decoding and control
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functionalities, using C#, WPF, and XAML.</p>
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<p><strong>GURULLA</strong> Springfield, MO</p>
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<p><strong>Full Stack Engineer</strong> January – December 2020</p>
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<p>Developed Flutter-based iOS and Android SaaS applications with
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Firebase backend.</p>
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<p>Emphasized scalable architecture and user-centric design to enhance
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user experience.</p>
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<p>Utilized Firebase backend for database management and real-time
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communication.</p>
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<p><strong>Missouri State University</strong> Springfield, MO</p>
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<p><strong>Data Engineering Intern</strong> July - August 2020</p>
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<p>Created data processing and machine learning pipelines to analyze MRI
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scans of traumatic brain injuries.</p>
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<p>Assisted graduate research assistants to create reports in published
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works.</p>
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<p><strong>O’REILLY AUTOPARTS</strong> Springfield, MO</p>
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<p><strong>Quality Assurance Intern</strong> June– August 2020</p>
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<p>Executed integration tests by querying telemetry databases with SQL
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on the cloud.</p>
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<p><strong>Education</strong></p>
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<p><strong>Missouri State University</strong> Springfield, MO</p>
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<p>Bachelor of Science in Computer Science May 2021</p>
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<p><strong>CS 350 Final Project</strong></p>
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<p>Implemented a real-time sign language to text translator application
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using pipelined NLP techniques in AI at the core. This was built with
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TensorFlow, C++, and Python, served on an AWS EC2 instance, with a web
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socket connection to a light frontend application that sends live video
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to the backend. The model architecture was a feedforward CNN with only
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2000 parameters and five hidden layers. It was trained using supervised
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learning and validated using Scikit-learns cross validation. I was able
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to achieve 98.8% prediction accuracy.</p>
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<p><strong>Bindersnap Personal Project</strong></p>
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<p>Created a document hosting, version control, revision, and consensus
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management platform. This product allows enterprises to parallelize
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revision and consensus workflows by leveraging the cloud. It also
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features a frontend webpage for search that utilizes Elasticsearch as
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the engine. All created with Go, Typescript, and Vue. Deployed on
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AWS.</p>
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