I’m a software engineer who works at the intersection of technology and people. I design and build end-to-end systems across backend services, data platforms, authentication, APIs, and modern front-end experiences, and I’ve owned enterprise platform modernization, large-scale internal tooling, and AI-native pipeline architecture delivering measurable cost and reliability gains.
My background includes scaling and customizing enterprise asset management systems, modernizing factory mobility applications, and founding a startup where I designed and built a blockchain-based proof-of-existence identity platform. That work resulted in a provisional patent for a secure, tamper-evident approach to cryptographic identity verification.
I hold a B.S. in Computer Science and Information from the University of Michigan and an Associate’s degree in Technical and Scientific Communication. My certifications include IBM Advanced Deployment Professional for Maximo Asset Management, Microsoft Azure Fundamentals, and advanced coursework in machine learning and deep learning.
I place a strong emphasis on sustainable engineering practices, including clear documentation, mentorship, and disciplined release processes that support long-term system health and team effectiveness.
Outside of engineering, I’m an artist, writer, futurist, and avid gamer. These interests shape how I think about systems, narrative, and interaction, and influence how I design technology that feels coherent, intuitive, and human.
Languages & Frameworks:
Python, Java, JavaScript/TypeScript, C++, C#, SQL/PL‑SQL, Bash, HTML/XML, VB; React, React Native, Expo, IBM Graphite Framework
Enterprise & COTS Platforms:
IBM Maximo 7.6, Maximo Application Suite (MAS 9.x), Maximo Mobile; COTS configuration, customization, integration and lifecycle migration
Databases & Data Systems:
PostgreSQL, Oracle DB, SQL Server, MySQL, MongoDB, Redis; data modeling, migrations, reconciliation, bulk ingestion and query optimization
Infrastructure, Containers & Runtime:
AWS (EC2), Azure, Docker, OpenShift, WebLogic; containerized services, utility servers and cron‑based automation
DevOps & Delivery:
GitHub Actions, Azure DevOps; CI/CD pipelines, automated testing and release engineering
APIs & Integrations:
SOAP, REST, IBM Maximo Object Structures; system‑to‑system integrations and resilient patterns
AI & Applied ML:
PyTorch, Hugging Face (diffusers, transformers), Stable Diffusion; convolutional and sequence models; local inference pipelines and agent orchestration (Cognagents)
Testing & Collaboration:
Playwright, BrowserStack; regression testing; Jira, Confluence and GitHub for cross‑functional delivery
Data Analytics:
Numpy, SciPy, Machine Learning
General Motors — Senior Software Engineer (Enterprise Asset Management Platforms & Field Mobility)
June 2022 – Present
Contributed to GM’s enterprise migration from IBM Maximo 7.6 to Maximo Application Suite 9.x, modernizing integrations via REST APIs and object structures while maintaining uptime across more than 15 plants.
Led modernization of Maximo Mobile, using JavaScript and IBM’s Graphite framework to replace third‑party implementations; eliminated vendor dependency and saved ≈$170K per year, while improving maintainability and deployment control.
Designed and delivered high‑impact internal systems: the Python Query Analysis Tool (reduced enterprise queries from >30K to <18K); Custom VB application for bulk Maximo asset/image ingestion (ingested 90K+ images via cron‑driven, with ~1.6 M assets remaining); contributed to an MAS 9.x‑compatible rewrite of MxLoader and developed a Copy Widget for converting templates into MxLoader format. These efforts avoided ~$1.6M in manual upload costs and delivered 145 work items in 2024 with zero production defects.
Coordinated release engineering for the Maximo platform, overseeing release documentation, Maximo migration management, CI/CD validation and environment readiness.
Cognagents — Founder / Lead Engineer (AI‑Native Workflow & Governance Platform)
2024 – Present (Concurrent)
Architected Cognagents, a multi‑tenant workflow orchestration platform that enables governed agent execution, policy enforcement, audit logging and human‑in‑the‑loop controls.
Designed deterministic execution patterns to ensure tenant isolation, credential governance, compliance and reliability for enterprise AI adoption.
Built containerized production infrastructure using Django, Joeflow, Redis, PostgreSQL and Docker, integrating authentication, workflow registries, execution pipelines, CI/CD automation and automated testing.
Detroit Design & Technology (DDTEC) — Chief Technology Officer
April 2021 – June 2022
Invented and led development of the Seeme Identity Assurance Platform, a distributed Proof of Existence blockchain system providing cryptographic identity verification, secure timestamping and tamper‑evident records. Filed a solo provisional patent covering the system’s secure data storage, processing and sharing mechanisms.
Spearheaded full‑stack delivery using Python, JavaScript, React and React Native to build API‑driven identity workflows and secure client interfaces.
Designed and operated AWS infrastructure (EC2) with Docker, Redis and CI/CD pipelines to support scalable, high‑availability identity services.
Luna Innovations — Technical Writer (Software & API Documentation)
February 2022 – July 2022 (Concurrent Contract)
Authored developer and API documentation for complex software and instrumentation systems, reducing developer onboarding time by ~40 %.
Standardized documentation workflows using Confluence, improving cross‑team clarity and maintainability.
M‑mates: Students for Decarceration — Co‑Executive Director & Co‑Founder
University of Michigan | October 2019 – December 2021
Co‑founded a student organization dedicated to decarceration advocacy and ending inequity within the criminal justice system.
Led organizational strategy, coalition building and campus engagement, coordinating educational programs and partnerships with community organizations.
Out of The Box — Project Lead
October 2019 – October 2021
Led technical‑education initiatives that taught core computer science and software skills to incarcerated individuals and returning citizens.
Designed curricula focusing on Python programming, applied software development and post‑release employment pathways.
Coordinated partnerships with educators and community groups to deliver sustainable, technology‑driven re‑entry programs.
University of Michigan — Research Assistant (College of Engineering)
August 2017 – October 2021
Supported research projects involving computer science fundamentals, data analysis and applied software development.
Developed scripts and tools to automate data collection and improve simulation efficiency; contributed to academic publications and technical documentation.
Enterprise Modernization & Automation
Platform Migration & Modernization – Contributed to migrating more than 15 facilities from a legacy asset‑management system to a modern suite. This work included modernizing mobile applications and designing internal tools—such as a Python query analyzer, bulk asset/image ingestion utilities and a copy‑widget for data templates—that reduced risk and manual effort while delivering major cost savings.
Mobile Modernization & Vendor Cost Reduction – Built an in‑house mobile solution to replace third‑party vendor applications, improving deployment control and cutting recurring licensing costs by roughly $170 K per year.
Internal Tooling & Automation – Delivered automation and data‑quality tools (query analysis, ingestion utilities and MxLoader enhancements) that saved more than $1.6 M in projected manual work and improved data accuracy.
Emerging Technology Platforms
Cognagents – AI Control Plane – Architected a multi‑tenant workflow orchestration platform for AI agents. The platform enforces policies, logs execution for auditability and incorporates human‑in‑the‑loop controls, with deterministic patterns and containerized infrastructure to meet enterprise safety and compliance requirements.
Seeme Identity Assurance Platform – Invented and developed a proof‑of‑existence blockchain identity system that provides cryptographic verification, secure timestamping and tamper detection. Filed a provisional patent and led full‑stack and cloud infrastructure implementation for the platform.
Community & Creative Initiatives
Out of The Box Initiative (2021) – Led a program that creates pathways for incarcerated individuals and returning citizens to learn fundamental computer science principles, gain essential programming skills and access pre‑ and post‑release opportunities and reentry resources.
Tweet‑Line (2020) – Built a tool that aggregates tweets and news headlines using official APIs, stores them in an SQLite database and analyzes patterns and trends. The project’s code is available on GitHub.
FutureShock (2021) – Developed a long‑running science‑fiction graphic‑novel project that culminates in an interactive web experience. The project’s website offers updates and explores a narrative 15 years in the making.
I hold a B.S. in Computer Science and Information from the University of Michigan (2021) and an Associate’s Degree in Technical & Scientific Communication from Washtenaw Community College (2008). Together, these disciplines support an approach to software engineering that emphasizes both technical depth and clarity in communication.
To stay current and expand my expertise, I pursue certifications and training that support my work:
IBM Certified Advanced Deployment Professional – Maximo Asset Management v7.6 (Apr 2025) – validates my ability to deploy and manage complex Maximo environments.
Microsoft Certified: Azure Fundamentals (AZ‑900) (Jan 2023) – demonstrates proficiency with cloud concepts, services and compliance on the Azure platform.
Project Planning with Advanced Roadmaps for Jira – Udemy (Jun 2025), Jira for Beginners – Udemy (Jun 2025) and Realizing the Power of Jira Reporting & Dashboards – Atlassian (Jun 2025) – training that improves project management, reporting and agile workflow planning.
DeepLearning.AI Specialization (2020) – a series covering neural networks, convolutional networks, sequence models and hyperparameter tuning to strengthen my machine‑learning skills.
Applied Machine Learning in Python and Introduction to Data Science in Python (Coursera, Sep 2020) – courses that refined my ability to build and deploy data‑driven applications.
These credentials complement my formal education by ensuring that I can design, deploy and modernize enterprise systems while leveraging the latest in cloud infrastructure, AI and project management.
Systems and Methods for Storing, Processing, and Sharing Data — Provisional Patent (Filed 2021). Solo inventor of the Seeme Identity Assurance Platform’s proof‑of‑existence blockchain system enabling cryptographic identity verification and tamper‑evident records.
Co‑authored “The Role of Molecular Properties on the Dimerization of Aromatic Compounds” (Proceedings of the Combustion Institute).