Bill Evans builds the systems between factory reality and executive decisions.
8 years at Honeywell FM&T turning regulated manufacturing problems into AI-enabled tools, analytics platforms, automation workflows, and products people actually use.
MBA
Senior Mechanical Engineer
Data Science
AI
Product Engineering
Live system map
Manufacturing Intelligence Signals flowing through AI, analytics, automation, and product execution.Chunking code and evaluation tests to improve response quality and reliability.
Internal analytics applications built for scale, governance, and daily operational use.
Python, OpenCV, and Pillow workflow that reduced engineering effort and improved consistency.
Cost-reduction leadership before Honeywell, plus additive manufacturing savings over $800K.
Ironwoods Trust, GROCO, MyPaths, and Elkie & Co, including ecommerce growth past $3M.
Hiring lens
Pick the role. The proof reorganizes.
Recruiters skim. Hiring managers pattern-match. This section turns the same body of work toward different high-value roles.
Selected builds
Projects that prove the range.
Each module ties engineering judgment to a working software outcome.
Live lab
Interrogate the proof live.
Ask hiring questions, compare project evidence, and model how automation changes engineering capacity without leaving the page.
Profile engine
Ask the resume-aware agent
Profile engine standing by.
Automation ROI
Estimate engineering time returned
Move the sliders to translate repetitive process work into annual engineering capacity.
32h
55%
Engineering capacity returned
916 hours/year
About 23 full work weeks can move from repetitive process work into higher-value engineering decisions.
Technical range
Mechanical depth plus software delivery.
Useful in the messy middle: manufacturing data, AI tools, analytics products, automation, and cross-functional execution.
Trajectory
Built for harder systems over time.
Next step