At Tenstorrent, I worked on the CI/CD infrastructure (Kubernetes + ARC) that the entire engineering org and open source contributors depend on to build and test TT’s AI software stack — orchestrating self-hosted runners on TT hardware for tens of thousands of daily jobs.

Here’s a look into what I’ve built:

• Designed a priority queue system with dynamic resource allocation by implementing Yunikorn (a custom k8s scheduler) that cut wait times for critical CI jobs from over 2 hours down to under 3 minutes
• Built an alert response system using nanoclaw that receives Prometheus/Alertmanager webhooks and autonomously investigates and resolves Kubernetes issues
• Expanded CI from a single k8s cluster serving jobs to an active-active, multi-cluster architecture enabling high availability and automatic failover

At Toyota I primarily worked on software that orchestrates AGV traffic. AGVs are autonomous vehicles that transport materials across plants. This software is used in 10 Toyota plants across North America.

Some things I did were:

• Built a configurable heatmap dashboard for AGV faults that helped plant engineers identify fault trends
• Containerized services that consumed MQTT-streamed data from AGVs
• Investigated bugs slipping into production and discovered root cause was features skipping testing. Implemented Zephyr test management into Jira, set up testing workflows, and presented problem and solution to upper management, gaining approval

During my time back at Ingine Consultants, I was brought on to help build the infrastructure supporting a data pipeline handling sensitive PII data.

Here’s some stuff I did:

• Integrated Snyk security scanning and Docker image validation into the GitHub Actions CI/CD pipeline, which was done with the goal of strengthening our Zero Trust posture
• Provisioned GDPR-compliant Azure infrastructure with Terraform, which supported systems that handled 500+ PII files per week
• Built an event-driven Azure Functions API with Python FastAPI that audited data integrity and exposed 4 critical staging issues before the data reached downstream analytics teams

Wrote scripts and leveraged low code solutions to automate manual processes.

What I worked on:

• Developed a C# script that automated a legacy, manual report generation process
• Used Power Automate to automate a ton of tedius Excel formatting for those reports
• These two automations saved around 50+ hours per year

Management engineering is an interdisciplinary program focused on software engineering, data analytics, and industrial engineering principles.

Some relevant courses I've taken so far are:

✦ Databases and Software Design
✦ Data Structures and Algorithms
✦ Object Oriented Programming
✦ Introduction to Programming