Hi, I'm Peter Do. Virginia Tech CS graduate and current M.Eng student with industry experience across Capital One, Collins Aerospace (RTX), Nora AI, and Knowmadics. Focused on scalable full-stack architecture, automation, and AI/ML applications.
Software artifacts spanning machine learning, HPC parallelization, cloud platforms, and full-stack tools.
Optimized a 2-hit carcinogenic mutation detection algorithm by redesigning sparse genomic matrices into a dense, patient-indexed structure and implementing OpenMP thread-level parallelism, reducing CPU runtime by 65%.
Machine learning-powered Chrome extension that detects fake news, satirical content, and misinformation in real-time with 90.17% accuracy. Processes articles in ≤50ms with privacy-first local analysis.
Full-stack web application promoting eco-friendly shopping by offering sustainable alternatives to fast fashion items using real-time web scraping and AWS serverless backend.
Full-stack web application that helps distributed and remote teams build work culture and cross-team engagement. Scaled to over 100+ active users.
Custom neural network implementing feedforward and backpropagation with 97% accuracy on handwritten digits, coupled with an interactive visualizer explaining neural activations.
Cross-platform desktop application to monitor real-time upload/download speeds across multiple network interfaces with local SQLite timeseries storage.
Uses deep learning to classify bird calls in real time during field hikes and image detection on user photos, streaming observations to researchers for ecological monitoring.
Built a mock Ring doorbell on a Raspberry Pi 4 to recognize visitors as authorized or unknown using OpenCV Haar Cascades and dispatch instant Twilio SMS notifications.
Chronological engineering roles across mobile systems, cloud infrastructure automation, and full-stack software.
A comprehensive overview of languages, frameworks, infrastructure platforms, and engineering toolchains.
A dedication to scalable systems, high-leverage automation, and intuitive user experiences.
I am a software engineer based in Ashburn, VA. My technical journey bridges academic rigor in computer science with real-world enterprise engineering. I specialize in building cloud-native backends, scalable mobile features, automated DevOps pipelines, and practical machine learning applications.
Whether architecting database provisioning platforms using Crossplane and Argo CD at Collins Aerospace, crafting Android customer flows at Capital One, or building high-performance C/OpenMP algorithms, I focus on clean code, measurable performance gains, and reliable systems.
Grand Prize Winner ($2,500) at VT Startup Sprint 2023, $500 Grant at VT Spring Entrepreneurship Challenge 2025, and Hoohacks 2024 Sustainability Category Winner.
Graduated from Virginia Tech in December 2025 with a B.S. in Computer Science and a Mathematics Minor (3.63 GPA). Currently completing a Master of Engineering in Computer Science and Applications (3.95 GPA), expected December 2026.
Winner of the Virginia Tech Startup Sprint 2023 Grand Prize ($2,500) and the Virginia Tech Spring Entrepreneurship Challenge 2025 ($500 Grant) for innovative software platforms.
Hands-on experience developing mobile Android applications at Capital One, automating cloud database infrastructure with Kubernetes and Crossplane at Collins Aerospace, and building AI platforms at Nora AI and Knowmadics.
Peter Do
Software Engineer · M.Eng '26
Currently open to full-time engineering roles, high-impact projects, and technical collaborations.