Oracle OCI
Software Development Engineer
March 2026 —
- Building cutting-edge enterprise AI solutions.
- Follow my story to hear more soon!
About
The long version.
Overview
I’m a software engineer. I started programming when I was fourteen, in a freshman-year class, on GameMaker, then Visual Basic, C++, Java. In college, mostly Java, Python, and JavaScript.
I started at George Fox University in Newberg, Oregon. After a couple of years and a pandemic, I transferred to Loyola Marymount University in Los Angeles, drawn by their AI coursework. While there, I helped build a beta product called Hyprlink, an events app for students to find and RSVP to things happening around the city.
In the summer of 2021 I interned at Intel, on technical-documentation automation. We migrated some old web apps to newer frameworks and took 5-minute load times down to seconds. I automated a manual QA validation process end-to-end before the internship ended in May 2022.
That May, I joined Amazon. First in Alexa Shopping, then over to the Audible Creator Marketplace org. I spent the bulk of that time improving the customer experience and dragging ACX.com into the 2020s. My biggest project was leading a migration of roughly sixty percent of user flows to a new framework while adding features, refactoring legacy logic, and upgrading the UX.
In January 2025, after some leadership shifts delayed career progression, I moved to AWS and joined GuardDuty: malware protection for AWS customers. Our team owned malware protection for EC2 instances and S3 objects. I worked on a project to extend support for scanning AWS backup recovery points, AMIs, and EBS snapshots.
Later in 2025, my fiancée got an amazing offer to work at the Nashville zoo (her dream job) so we packed up and moved across the country. I’m now at Oracle, working as a senior platform software engineer and building enterprise AI solutions. My line is always open for whatever comes next!
Skills
AI
Claude Code
Codex
Plugins
Skills
MCP
ollama
harness engineering
graph memory
neurosymbolic memory
LangGraph
LangChain
Languages
Java
Python
Rust
Go
SQL
TypeScript
JavaScript
HTML/CSS
Cloud
SNS
SQS
S3
Lambda
CloudWatch
CDK
Route53
GuardDuty
Fargate
OCI Object Storage
OCI Functions
OCI Logging
OCI Events
OCI Resource Manager
OCI NoSQL Service
Miscellaneous
React.js
React Query
Axios
Redux
PostgreSQL
Lombok
Slf4j
Spring
Hibernate
Figma
Dagger
Guice
Experience
Amazon
Software Development Engineer
May 2022 — January 2026
- Designed a customer contract migration strategy and implemented it in Java, utilizing AWS SNS, SQS, and Lambda to process up to 10,000 contract update requests per customer, allowing customers to perform bulk updates to their titles.
- Stood up two production-ready Java microservices and performed a lift-shift-refactor extraction from a monolith to microservices and enabled full CI/CD deployment pipelines, reducing the average time to production by up to 700%.
- Led the migration of primary customer workflows for audiobook creation from JSP to TypeScript using React.js, resulting in a refreshed experience for 70% of all user flows in the application and improving page load time by 30% serving 80k customers per day.
- Engineered a canary release mechanism in a multi-cell Java microservice architecture, ensuring predictable traffic distribution during cell rebalancing. Reduced on-call pages by 5 per week, improving system reliability and cutting escalation response costs by an estimated $50K/year.
- Implemented a custom backoff strategy in our Rust and Java microservices to mitigate prolonged customer throttling issues when processing large customer requests, reducing on-call pages per week by 10%.
Intel Corporation
Software Engineer Intern
June 2021 — May 2022
- Performed a project rewrite, converted legacy Ruby webapp into enhanced React app using a Model-View-Controller pattern to enhance source code organization
- Optimized the React app and reduced load times by up to 90% compared to legacy Ruby app through asynchronous API calls, better page design, and lazy loading methods
- Improved user satisfaction by iteratively reimagining the webapp UI to be friendlier and optimized for faster workflow, while maintaining core attributes to maintain user muscle memory
- Automated legacy Ruby workflows in Python, eliminating manual file processing and cutting weekly labor costs by $500, saving approximately $26K annually while improving task throughput by 70%.
- Designed and implemented a backend API using Python Flask, nginx, and redis to enable job queuing, and Kubernetes/nginx for load balancing by automatically deploying more pods when traffic became overwhelming.
Loyola Marymount University
Frontend Engineer Intern
September 2020 — May 2021
- Implemented several front end features such as a sign-up page using functional, component-based React.js for production
- Redesigned the user interface with Figma to create a friendlier UX/UI based on feedback from professionals in web design
- Streamlined backend integration testing through use of a Docker image
- Maintained an agile workflow through the use of asynchronous task delegation, weekly review meetings, and a task backlog similar to scrum to improve overall efficiency of the development process
Projects
Nodemem (alias memgraph)
May 2026 —
- Designed a multi-graph-based schema-agnostic memory system for agents, with tagging, keywords, and edge connections between nodes.
- Developing an MCP server with bulk query, subgraph update/create, and efficient access patterns for agent recall. Powered by a coupled skill.
- Plugins-based system for human-accessible tooling such as document reconstruction, recipes, and more.
Cipher Inspector Cryptanalysis Dashboard
May 2025 — March 2026
- Designed a web application to create a fully shareable, configurable, and customizable dashboard for visualizing cipher attributes using cryptanalysis.
- Support for unlimited ciphertext comparisons, bookmarking ciphertexts, saving, and sharing dashboards with others
- Stripe and Google/Discord OAuth
AI Gam
January 2024 — May 2024
- Designed a message producer/consumer system to process web socket requests on a Node.js server, and a room system for organizing players into rooms with unique IDs.
- Designed a game state machine and implemented the core gameplay loop using Next.js, NextUI, and functional React.
- Integrated with AWS Bedrock and utilized Llama 2 70B, engineering a prompt to accept user input and generate the appropriate output.
- Implemented a leaderboard system to display the number of round wins each player has at the end of each round.
Basilisco: Social Platform for Gen AI
March 2023 — May 2023
- Designed a web application using React.js, Node.js, and Python that allowed users to create an account and share art generated natively in-app using a self-hosted gen-ai model.
- Self-hosted a generative AI model to reduce operational costs by up to 80% when compared to using OpenAI APIs.
- Utilized AWS SNS, SQS, and Lambda to trigger requests to the server for executing art generation requests.
Hyprlink: Fun Found Fast
August 2021 — August 2022
- Designed a Swift application with Node backend that showed popular public events in the users geographic area on a map, and get invited to private events.
- Constructed an intelligent algorithm that can determine the trustworthiness of accounts on the application to assure the safety of event attendees and hosts.
- Built a complex account network using AWS RDS and connected it to the Swift frontend using Node.js and Express.js to enable full CRUD capabilities.
PacMan Capture The Flag
March 2021 — May 2021
- Designed a PacMan machine learning agent that made use of reinforcement learning to play an adversarial game of Capture the Flag against other similar agents
- Created a feature extractor that decomposed state-action spaces into useful features that our agent could attend to, learn from, and weight in order to make optimal moves
- Composed a reward function that provided a balanced set of rewards for positive and negative outcomes of movements made by the agent to encourage meaningful decisions
Bouncer Bot
July 2020 — June 2021
- Published a Discord automation bot built with Python that provided two-factor authentication email sign-in verification features for the official school chat server
- Ensured server security with domain-locking functionality, allowing administrators to force users to use their organization emails when joining the organization Discord server
- Utilized the Gmail and Discord Bot APIs to handle email distribution and asynchronous messaging between the bot and end users
Z-RACE Info Center
March 2021 — April 2021
- Assembled a webapp information hub using React.js, MaterialUI, Node.js, and hosted through Firebase to assure the community could access any information about the development of our game in an easy and simple manner
- Reduced repetitive user feedback, bug reports, and suggestions by 50% through use of the webapp to keep users informed
- Improved overall community satisfaction by implementing status indicators on all user suggestions and bug reports, assuring our awareness of the issues and ideas
DocuMed
July 2020 — December 2020
- Designed a web-based system used to apply learning disability accommodations to university classes in the interest of streamlining the accommodations process for students with learning disabilities
- Developed a front end mockup of the website as a proof-of-concept using React.js, Node.js, MaterialUI, and hosted with Firebase
- Improved overall design of the site through an iterative design process and direct user testing to increase accessibility and ease of use for all users
Salary Predictor
November 2020 — December 2020
- Utilized Python sklearn to perform Logistic Regression on a 47,000-value Pandas DataFrame to predict salaries of individuals based on the real income data
- Observed, sanitized, and stored over 47,000 lines of unorganized and incomplete data from the UCI Adult Income dataset using sklearn's OneHotEncoder and Pandas DataFrames
- Implemented an email spam filter built with the same Logistic Regression model as the Salary Predictor to increase familiarity of sklearn and Pandas libraries, as well as building logistic regression models
Education
Loyola Marymount University
August 2020 — May 2022
B.Sc. Computer Science
Coursework
Interaction Design
Computer Graphics
Artificial Intelligence
Cognitive Systems Design
Compilers
Computer Systems Organization
Programming Languages
Theory of Computation
Databases
Microprocessors
George Fox University
August 2018 — May 2020
Transferred (B.Sc. Computer Science)
Coursework
Data Structures
Algorithms
Object-Oriented Analysis And Design
Discrete Math
Introduction to Proofs