Fabrication Engineer, Boeing·AI Steering Team·hardware to software
00 — Hello
One engineer, many disciplines.
I've designed circuit boards, modeled machines, built AI agents for a factory floor, and shipped apps. Working across that many fields means I can see a problem the way every team involved sees it, then build the fix that works for all of them.
Manufacturing
Electrical
Mechanical
Software
AI
Operations research
NowFabrication Engineer, Boeing · AI Steering Team
StudiedIndustrial Eng., UIUC
01 — Experience
Where I've worked
2026 —Present
Boeing Fabrication Engineer
Auburn, WA · Jan 2026 – Present
Aug 2026 · Joined the AI Steering Team
I took on a bigger role: finding AI and automation opportunities across fabrication, then owning each one from discovery through build, deployment, and shop-floor adoption.
AI agent · MCP
Ask the factory a question in plain English.
An AI agent on a custom MCP server that connects several internal databases. It turns a question into SQL, checks that the query is safe, runs it, and answers with live metrics.
Demo is a reconstruction with made-up data.
mcp-agent
Pick a question.
Shop-loading decision engine. Reads live work-in-progress, targets, and downstream constraints, then releases orders straight into the ERP.
Toolroom inventory on GKE. An inventory database with an ordering portal, scheduled pickups, and automatic barcode labels. It removed the need for two full-time positions.
Flow-based recovery metrics. Worked with senior leadership to replace "hours behind schedule." SQL pipelines and dashboards, adopted org-wide.
Tube redesign. Consolidated five components into two multi-bend assemblies, saving $146 per assembly and 473 labor hours a year.
2025Summer
Flex Manufacturing Engineer Intern
Buffalo Grove, IL · Jun – Aug 2025
Cleanroom delivery robots. Led an automation initiative bringing material-delivery robots into cleanroom medical-device production. I mapped routes and redesigned cart layouts to replace manual transport, for a projected $500K in annual savings.
Kaizen and time studies. Ran time-and-motion studies and demand/supply gap analysis, then facilitated cross-functional Kaizen events to remove bottlenecks and cut process waste.
MRO storage redesign. Re-laid out the cleanroom-supply storage room in AutoCAD for 24% better space use, adding pallet locations for a new customer. Implemented 5S and demand-based reorder points to reduce on-hand stock.
Lean training. Led hands-on Lean Manufacturing training sessions and built Excel analytics to back continuous-improvement decisions.
2024Summer
Collins Aerospace Quality Engineer Intern
Rockford, IL · May – Aug 2024
GelSight damage assessment. Built a process that uses GelSight imaging to measure the depth of handling damage on Ram Air Turbines. The dataset I collected set the customer's cutoff for acceptable damage, and zero-hour returns fell 40%.
Root-cause analysis. Mined Quality Notification data for damage trends, used statistical process control and root-cause analysis to find failure modes, and drove corrective actions.
Standard Work. Wrote Standard Work documents that standardized procedures and kept quality consistent across teams.
2023Summer
Tetra Pak Automation Engineer Intern
Vernon Hills, IL · May – Aug 2023
Team SharePoint site. Designed and built a SharePoint site from scratch to centralize the automation team's documentation and project files, with version control and faster retrieval.
HMI and PLC troubleshooting. Used FactoryTalk View to fix HMI display problems, including wrong data readouts and communication errors with PLCs.
Parts and procurement. Managed the inventory of HMI and PLC parts, tracked part data in SAP from quote through production, and gathered competing vendor quotes on price and quality.
Data analysis. Applied ANOVA and regression to identify key process variables, and validated data ahead of a new project phase.
2022– 2025
University of Illinois Urbana-Champaign B.S. Industrial Engineering
Semiconductor concentration · GPA 3.81
02 — Projects
Newest first, back to 2022
From AI apps today, back through a circuit board, to a CAD model of an excavator.
2026
Oct 2026 · Native iOS · Bluetooth · Rust
Youra
Your Oura ring, your data. An iPhone dashboard that talks to the ring directly over Bluetooth and reads Apple Health, with no cloud backend and no subscription. Sleep, HRV, and recovery are computed on the phone with formulas you can inspect. An optional AI assistant runs on your own server, and you preview everything before it's sent.
Screens show sample data. Built on the open-source Open Health and Open Oura projects.
2026 · Connected product · NFC
StrictlyVision
Tap a gym machine, log your set. NFC tags turn each of 41 machines at a partner gym into a session. Sets save offline and sync without duplicates, and owners get a console for tags and analytics.
React Native
NFC
Supabase
Cloudflare Workers
2026 · AI · iOS
StrictlyFuel
Tell it your workout and it tells you what to eat. The carb-target math is plain, testable code. AI only does the uncertain part, estimating food from a photo, and you can always correct it.
Juno is a $20,000 patient simulator used by nursing schools, and its electronics were old and expensive. Our team of four replaced four legacy boards with one custom carrier board. A Raspberry Pi CM5 runs the software, and an STM32 handles the real-time sensors and actuators. I designed the 4-layer KiCad layout, which fits the original mounting holes.
BOM cost
−63.9%
$1,731 → $625
Payback
3.8 mo
target: 2 years
Parts
183
100 × 80 mm
3D model built from the final REV01 KiCad and Gerber files. The CM5 module is simplified.
Spring 2025 · Operations research · Python
Airline seat pricing
A Markov decision model, solved with dynamic programming, for when to sell a cheap seat now or hold out for a higher fare.
Point your camera at any ingredient label: food, skincare, or household. Vision and an LLM read the fine print, and you get a 0–100 score broken down into ingredient quality, processing, and fit for your preferences, plus better alternatives. Built with collaborators.
A full assembly with tracks, a rotating cab, and a working boom, arm, and bucket linkage, all animated in motion studies.
03 — Off the clock
Every sport I've done is training for one race.
Growing upThe pool
Competitive swimmer and water polo player.
CollegeThe gym
Got into lifting and stayed with it.
Post-gradThe road
Triathlon training: swim, bike, run.
NextIronman
2.4 mi swim · 112 mi bike · 26.2 mi run
04 — Contact
Hiring for someone who can work the whole problem?
I'm open to conversations about roles where AI meets real-world operations: deploying AI with customers, solutions engineering, and building systems that have to work on the floor, not just in a demo.
