Ozcan Aktas, M.Eng, PMP
Manufacturing & Process Engineer / Program Manager @ SyBridge Technologies
Canada
Windsor
Industrial Automation
Computer-Aided Design (CAD), Design for Manufacturing, Moldflow, Finite Element Analysis (FEA), Project Estimation, Project Scheduling, Scope Management, Risk Management, Budget Management, Stakeholder Management, Project Coordination, Agile Project Management, Scrum, waterfall methodology, Microsoft Project, Decision-Making, Team Management, Purchase Orders, Budget Tracking, Project Planning
Experience

Manufacturing & Process Engineer / Program Manager
Own manufacturing process development and launch execution for injection-molded prototype and production programs in high-mix environments, supporting automotive OEM and Tier-1 customers including Tesla, GM, Stellantis, Ford, Toyota, Rivian, and EXO-S. Delivered stable, repeatable injection molding processes across multiple concurrent programs, improving first-shot success and reducing launch-phase rework by ~20%. Led end-to-end manufacturing process development from DFM and Moldflow review through tooling design progression (preliminary → final) and production release. Established and validated molding processes using short-shot studies, gate freeze analysis, process window development, and parameter optimization. Supported process validation and controlled release activities to ensure manufacturing readiness prior to production handoff. Drove structured root-cause investigations (5-Why, Ishikawa, Pareto) for non-conformances in partnership with Quality. Developed and maintained standard work, process documentation, and change control to ensure consistent execution across programs. Analyzed production data using SPC concepts and time-based studies to identify bottlenecks and prioritize improvements. Supported tooling modifications and machining activities (roughing, finish, EDM, spotting) and validated effectiveness post-change. Worked cross-functionally with Finance, Logistics, and Estimating to align delivery, cost risk, and revenue recognition. Captured customer feedback and post-project lessons learned to improve quote accuracy and reduce repeat issues.
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