About this Candidate
DAVRON CV: Candidate 3825329
INDUSTRIAL ENGINEER | PROCESS OPTIMIZATION, MANUFACTURING TEST & ROBOTICS
Core Expertise
- Process optimization delivering measurable gains, including a 30% throughput increase in a plant project.
- Manufacturing assembly and test support for high-volume equipment, including engine testing and emissions readiness.
- Maintenance engineering using data-driven projection models to extend component life cycles by 22.8%.
- Supply chain and inventory optimization, reducing stock delays 30% and improving operational efficiency 25%.
- AI-driven robotics automation and discrete-event simulation for production and test automation.
Project Background
- Academic AI-integrated robotic arm automation project combining TM Flow and Node-RED for task control.
- Senior design optimizing multi-product cement manufacturing and supply chain, presented to executive leadership.
- Component analysis and maintenance optimization for regional rail infrastructure improving braking life cycles.
- Fabrication and assembly support at a high-throughput backhoe manufacturing facility, testing 100+ engine blocks.
- Implemented inventory and CRM improvements for a smart-device startup, boosting customer satisfaction and sales.
Key Skills
- MATLAB | R | Arena Simulation | Excel
- Siemens NX | AutoCAD | Blender | CAD for fabrication and assembly
- TM Flow | Node-RED | Robotics Automation | AI integration
- PLM/PDM | SharePoint | Jira | Freshworks | Shopify
- Supply Chain Management | Inventory Optimization | Design for Assembly
- Project Management | Research & Analysis | Operations Research
Education
- Bachelor of Engineering, Industrial Engineering; Minor in Management — Purdue University
Awards & Recognition
- Generative AI Certificate — NASBA
- Systems Thinking Certificate — LinkedIn Learning
- Published author — Take the Wheel Drive Your Passion
Why Interview this Candidate?
Combines hands-on manufacturing test and assembly experience with data-driven process optimization and robotics automation. Demonstrated measurable impacts across academic and industry projects, including throughput and lifecycle improvements. Versatile with CAD, simulation, PLM, and CRM tools; poised to contribute immediately to hardware test or quality engineering teams.
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