Mechanical Engineering Technology • Design • Manufacturing • Testing

I'm Micah Haile

I learn by building, testing, and refining. My work focuses on translating design intent into manufacturable parts, understanding failure modes, and documenting results clearly. This portfolio is designed for anyone hiring in engineering design, analysis, manufacturing, field, or operations.

Hands-on fabrication
Testing & validation
Engineering documentation
Systems thinking
Safety-first mindset
Micah Haile

Quick snapshot

Focus: mechanical systems, manufacturability, testing

Strength: disciplined execution + clear documentation

Highlights: Stirling engine (262 RPM), reverse engineering, infrastructure quality study

Experience & Leadership

What I do well in real teams and real environments

Vice President — META (Mechanical Engineering Technology Association)

Leadership • Stakeholders • Execution
  • Why: Build a stronger bridge between students and real engineering work.
  • How: Coordinated project planning, task ownership, and communication across students and faculty stakeholders.
  • Result: Improved team execution and accountability on engineering initiatives and deliverables.
Key takeaway: clarity and follow-through matter more than motivation.

Barista / Barista Trainer — Starbucks

Reliability • Procedures • Teamwork
  • Why: Deliver consistent quality in a high-volume environment.
  • How: Followed standard work, trained others on procedures, and communicated clearly under pressure.
  • Result: Maintained quality and safety while supporting team performance during peak operations.
Key takeaway: operational discipline is a transferable engineering skill.

Skills & Tools

Practical capabilities across design, analysis, and fabrication

Core strengths
  • Mechanical: Design for manufacturability, assemblies, fits & tolerances, GD&T
  • Testing: Validation mindset, measurement, interpreting results and failure modes
  • Documentation: Technical reports, drawings, clear handoffs and record-keeping
  • Team: Communication, reliability, execution under deadlines

Software & Workshop

Tools I use
  • CAD: SolidWorks (assemblies, drawings, GD&T)
  • Analysis & Data: Excel; MATLAB/Octave; Python (numerical analysis, scripting)
  • Simulation: Dynamic modeling, time-response analysis
  • Fabrication: Manual lathe and mill; dimensional inspection & verification
  • Documentation: Technical reports, drawings, engineering presentations
  • Safety: WHMIS (Apr 2025); safety-conscious workshop practices

Selected Engineering Projects

Low-Temperature Differential Stirling Engine

Design • Manufacturing • Testing
  • Why: Validate mechanical design under real fabrication and assembly constraints.
  • How: SolidWorks assembly + drawings; manual lathe and mill machining; assembly and commissioning.
  • Result: Achieved stable operation at 262 RPM, validating tolerance assumptions and revealing friction/alignment sensitivities.
Key takeaway: small tolerances and surface finish decisions show up immediately in performance.

Manufacturing & Quality Systems Study – Railway Tracks

Systems analysis • Safety • Standards
  • Why: Understand reliability and safety considerations in critical infrastructure.
  • How: Reviewed materials, manufacturing routes, inspection methods, and lifecycle maintenance practices.
  • Result: Identified dominant failure mechanisms and compliance risks, reinforcing preventative maintenance and inspection discipline.
Key takeaway: quality systems are part of engineering design, not an afterthought.

Motor Housing Reverse Engineering – Drill Motor Case

Inspection • Tolerancing • Documentation
  • Why: Translate physical equipment into a manufacturable and inspection-ready design.
  • How: Extracted functional dimensions; applied controlled fits and GD&T; rebuilt in SolidWorks with parametric intent.
  • Result: Produced a model + drawing package supporting repeatable assembly and manufacturing handoff.
Key takeaway: clear documentation reduces ambiguity across manufacturing, inspection, and maintenance.

Dynamic System Modeling – Vehicle Suspension

Vibration analysis • Modeling • System response
  • Why: Understand how mechanical systems respond to transient and periodic excitation.
  • How: Modeled a suspension system using differential equations and simulated response to road inputs using numerical methods.
  • Result: Interpreted the influence of stiffness, damping, and excitation frequency on performance and response.
Key takeaway: modeling is only useful when it informs decisions and constraints.

Product Engineering Evaluation – Consumer Appliance

Analysis • Technical reporting • Trade-offs
  • Why: Practice objective engineering evaluation and decision support.
  • How: Conducted primary product analysis and secondary research across usability, function, and environmental considerations.
  • Result: Delivered a structured technical report summarizing trade-offs and improvement opportunities for a technical audience.
Key takeaway: good recommendations come from evidence, not opinions.

Supporting Technical Experience

Evidence of fundamentals + validation work

Materials Characterization & Failure Analysis

Hardness • Charpy impact • Failure interpretation
  • Why: Understand how materials behave under load and impact.
  • How: Ran lab testing and interpreted results against expected properties and failure modes.
  • Result: Connected test outcomes to practical design considerations: toughness, brittleness, and service reliability.
Detailed documentation available upon request.

Rotational Dynamics & Experimental Validation

Sensors • Data capture • Model comparison
  • Why: Validate theoretical models with real measurements.
  • How: Collected sensor data from a rotating system and compared measured response to theory.
  • Result: Improved confidence in modeling assumptions and learned where measurement error and boundary conditions matter.
Detailed documentation available upon request.