Interconnect topologies
Exploring how the networks connecting accelerators shape communication efficiency and large-scale AI performance.
My name is Jason Miller.
I’m a DPhil researcher in Engineering Science at the University of Oxford, working on scalable AI systems.
Contact MeA little about me
I’m a first-generation graduate from Las Cruces, New Mexico, with a background in electrical engineering and computer science. My work brings together networks, memory, and distributed computing.
At NMSU, I founded the Google Developer Student Club and grew it to more than 120 members through workshops, hackathons, and talks.
Research
My research sits at the intersection of computer architecture, networking, and distributed systems.
In-network computing
Investigating how computation within the network can support distributed workloads and reduce communication overhead.
Distributed memory
Studying memory architectures that support scalable, high-performance AI systems.
Earlier research
Machine learning & language
At NMSU, I worked on patient-condition classification and language models for sentiment and topic analysis. In 2023, I presented a poster on suicide prevention and social-media sentiment analysis at the S-STEM Scholars Meeting in Washington, D.C.
Experience
Research, hardware, and software—connected by a hands-on approach to engineering.
2025–presentUniversity of OxfordDoctoral Researcher · Oxford, UK+
AI system design, scalable interconnects, in-network computing, and distributed memory. First-year engineering demonstrator.
2024–2025Raytheon TechnologiesSoftware Engineer II / Electrical Engineer II+
Built analysis and simulation software, signal-processing pipelines, and engineering integration tools. Led cross-functional planning as Scrum Master.
2022–2024Sandia National LaboratoriesSoftware Engineering Intern+
Developed automated repository-mirroring and CI/CD workflows using GitLab, Jenkins, and REST APIs.
2023AmazonHardware Development Engineering Intern+
Led a cloud-based battery simulation platform using AWS, React, Flask, and PyBaMM for real-time analysis.
2023NetflixSoftware Engineering Apprentice+
Built and tested Spring Boot services, GraphQL APIs, and database-backed applications using TDD, JUnit, and Mockito.
2023New Mexico State UniversityMachine Learning Research Assistant+
Developed classification and NLP pipelines using TensorFlow, Scikit-learn, and BERT.
2022–2023BlackSkySoftware Engineering Intern+
Developed synthetic training data and contributed to research collaboration proposals and technical presentations.
2022Johns Hopkins Applied Physics LaboratorySoftware Engineering Intern+
Implemented a 1024-point FFT on the RB5 CPU/DSP and built efficient telemetry transfer with gRPC and Protocol Buffers.
2019–2022TMC DesignElectrical Engineering Intern+
Designed RF and power-system schematics, validated hardware, and supported component selection and lifecycle documentation.
Education
University of Oxford
DPhil in Engineering Science
AI systems · ARIA Research StudentshipNew Mexico State University
B.S. with Honors, Electrical Engineering
B.S. with Honors, Computer Science
Google Tech Exchange
Machine learning, data structures, and algorithms
CodePath
Computer science
Beyond the classroom
Learning through community.
Founder and lead of NMSU’s Google Developer Student Club. Participant in UC Berkeley’s Pipeline to the Ph.D. Bootcamp. STEM competition assessor and Spanish–English translation volunteer.
Selected projects
A selection of personal, apprenticeship, and engineering projects.
DueNext
An iOS assignment tracker with local notifications and progress visualization.
Swift · SwiftUIAggie Pathfinder
Campus navigation with Apple MapKit and custom 3D pathfinding.
MapKit · NavigationGame Store API
A database-backed game-store service developed during the Netflix apprenticeship.
Spring Boot · GraphQL · MySQLDisaster Tweet Classification
Classifying emergency-related tweets using natural-language features and machine learning.
Python · TF-IDF · Logistic regressionMini Baja Telemetry
A vehicle sensor-acquisition system built for engineering capstone testing and race analysis.
Sensors · Calibration · Data acquisitionToolkit
- Languages
- Python, C++, C, Java, JavaScript, MATLAB, SQL, VHDL
- ML & systems
- PyTorch, TensorFlow, NumPy, Scikit-learn, AWS, Docker, Kubernetes
- Applications
- React, Next.js, Flask, Spring Boot, REST, GraphQL
Get in touch
Let’s talk about AI infrastructure, networks, research, or an interesting engineering problem.
Oxford, United KingdomEnglish · Spanish