About this Candidate
DAVRON CV: Candidate 1922714
CONTROLS & AUTOMATION ENGINEER | PLC PROGRAMMING, PACKAGING & CONVEYOR SYSTEMS
Core Expertise
- PLC programming and logic development for Siemens and Allen-Bradley platforms
- Commissioning and testing (FAT/SAT) of turnkey automation systems in continuous production
- Design and troubleshooting of conveyor, packaging, material handling, and process automation
- Industrial communications and device integration using EtherNet/IP, PROFINET, Modbus, and Profibus
- Data-driven performance improvement using SQL, OEE, SPC, and root cause analysis
Project Background
- Delivered end-to-end automation projects for high-speed packaging and processing lines under 24/7 conditions
- Implemented synchronized conveyor control logic enabling coordinated material flow across multi-stage packaging lines
- Integrated VFDs, sensors, and safety interlocks to reduce downtime and stabilize critical processes
- Led commissioning, I/O validation, and field wiring support for control panels and MCC installations
- Applied OEE and SPC metrics to optimize control strategies and improve throughput and product quality
Key Skills
- Siemens S7-1200/1500 | TIA Portal | WinCC
- Allen-Bradley ControlLogix | CompactLogix | Studio 5000 | FactoryTalk View
- Ignition | Industrial SCADA and HMI development
- Communications: EtherNet/IP | PROFINET | Modbus TCP/RTU | Profibus
- Drives & motion: VFDs | Encoders | Motor starters | PID control
- Data & analytics: SQL | OEE | SPC | Root cause analysis
- Electrical documentation: AutoCAD | I/O lists | Control narratives | As-built records
Education
- M.S., Information Assurance and Technology — Wilmington University
- B.Tech., Mechanical Engineering — Sri Indu College of Engineering and Technology
Why Interview this Candidate?
A hands-on controls engineer experienced in PLC and SCADA delivery for packaging, conveyor, and material handling systems. Proven ability to commission turnkey systems, reduce downtime through integrated controls and VFDs, and drive measurable production improvements using data analytics. Ready to provide technical leadership on automation projects and mentor maintenance teams.
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