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, with documented savings and recurring multi-plant impact behind the work.
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.
Helped advance a Kimberly-Clark invention/technology saving $850K+ per year across multiple plants, alongside broader cost-reduction leadership.
Ironwoods Trust, GROCO, MyPaths, and Elkie & Co, including ecommerce growth past $3M.
Live systems
Public sites 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.
Commerce growth
Elkie & Co
Supported the startup path from launch to more than $3M in sales in under five years.
ecommerce / brand / operations Trust services Ironwoods TrustPublic site and conversion surface for fiduciary services, insights, and client trust.
positioning / lead generation Advisory platform GROCOOngoing web management for family office, tax advisory, articles, interviews, and media.
content systems / authority Guided product MyPathsPersonal-development product surface organized around paths, coaching, and account flows.
product UX / content architectureHiring 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