Senior engineer · Applied AI · Manufacturing systems

I turn manufacturing complexity into AI products, automation, and measurable results.

Senior Mechanical Engineer and MBA with 12+ years across manufacturing, applied AI, analytics, and product delivery—including 8 years at Honeywell FM&T and $1.85M in documented savings.

Best fit: senior roles connecting physical operations, data, and software delivery.

Applied AI Manufacturing data Automation Technical product leadership
$1.85M documented Honeywell savings
7+ years analytics tools in daily operational use
6 departments served by durable reporting platforms
01 Merlin RAG contributor

Chunking code and evaluation tests to improve response quality and reliability.

02 Secure Flask + Dataiku apps

Internal analytics applications built for scale, governance, and daily operational use.

03 Computer vision automation

Python, OpenCV, and Pillow workflow that reduced engineering effort and improved consistency.

04 Recurring plant savings

Helped advance a Kimberly-Clark invention/technology saving $850K+ per year across multiple plants, alongside broader cost-reduction leadership.

05 Public web systems

Ironwoods Trust, GROCO, MyPaths, and Elkie & Co, including ecommerce growth past $3M.

Role fit

Where I can create value fastest.

Select a role to see the most relevant evidence from the same verified body of work.

Selected case studies

Proof in shipped systems and business outcomes.

Each case study connects the problem, the work delivered, the technology, and the result.

Interactive profile

Ask a focused question about my experience.

Get a concise, resume-grounded answer about role fit, projects, technical range, or measurable impact.

Resume-grounded AI

Ask about Bill's fit

Checking
Answers use verified resume facts only. Unrelated or unsupported requests are declined. 0 / 500
Ready for a question about experience, impact, projects, or role fit.

Interactive product demo

Model engineering time returned

Move the sliders to explore how repetitive work can translate into annual engineering capacity. This is illustrative, not a savings claim.

32h
55%
Engineering capacity returned 916 hours/year

About 23 full work weeks can move from repetitive process work into higher-value engineering decisions.

Capabilities

Mechanical depth. Software delivery. Business judgment.

Useful in the messy middle: manufacturing data, AI tools, analytics products, automation, and cross-functional execution.

Experience

Increasing scope across engineering, data, and AI.

Customer-facing products with real operating weight.

These are not portfolio mockups. They are sites I have built, rebuilt, or continue to manage for businesses where trust, content, conversion, and uptime matter.

Next step

Looking for a senior builder who can connect operations, AI, and delivery?

Review the resume or start a conversation on LinkedIn.