Srinu Rangisetti
Industrial & Manufacturing Engineer | Ex-HCL | Automation & Robotics Specialist | PLC Programming | Lean Six Sigma | Quality Systems | Process Optimization Expert
- Role
- Manufacturing Engineer at Ford Motor Company
- Location
- Pittsburgh, PA, US
- LinkedIn followers
- 500 followers
About Srinu Rangisetti
Srinu is an accomplished Manufacturing Engineer with a proven track record of driving operational excellence through advanced automation solutions, comprehensive quality systems, and strategic continuous improvement initiatives. With over 3+ years of progressive experience spanning automotive and medical device manufacturing sectors, i specializes in transforming production processes through intelligent automation, seamless robotics integration, and rigorous quality management frameworks. Currently serving as a Manufacturing Engineer at Ford Motor Company, Srinu spearheads mission-critical manufacturing initiatives that directly enhance safety protocols, elevate quality standards, and optimize delivery performance across complex production environments. Core Expertise:Automation & Controls: Expert in PLC programming (Allen Bradley RS Logix Siemens TIA Portal), HMI/SCADA development, and industrial robotics (Fanuc)Process Engineering: Lean Manufacturing implementation, Six Sigma methodologies, and OEE improvement initiativesQuality Systems: Regulatory compliance specialist (21 CFR 820, ISO 13485, EU MDR), CAPA management, and risk assessmentManufacturing Operations: Production planning, supply chain optimization, and ERP/MES systems (SAP, Oracle, FactoryTalk) Key Achievements: Successfully implemented semi-automated SMT work cells, reducing manual intervention by 40% Led AMRAAM missile test equipment integration across seven test stations Developed comprehensive quality management systems ensuring FDA and ISO compliance Applied Six Sigma methodologies to achieve stable, predictable process results Managed manufacturability studies and cost estimation for high-value proposals Technical Proficiencies:Programming: Python, MATLAB, Arduino, G-Code, M-CodeIndustrial Systems: Vision systems (Keyence), VFDs, motion controllers, predictive maintenanceDesign Tools: SolidWorks, Autodesk Fusion 360, AutoCAD, PTC CREO Education: MS Engineering & Management | BE Robotics EngineeringI\'m passionate about leveraging technology and data-driven approaches to solve complex manufacturing challenges while maintaining the highest standards of safety and quality. Ready to contribute to organizations seeking to optimize their manufacturing operations and drive continuous improvement.Call:+14•••••••97Mail: s••••••••@gmail.com
Experience
Manufacturing Engineer
Aug 2024 — Present
Process Design & Optimization- Design specialized tools, fixtures, and assembly processes for chassis and printed wiring operations- Conduct comprehensive manufacturability studies and implement engineering change orders (ECOs)- Create detailed assembly instructions and work procedures ensuring consistent quality output Automation & Integration- Improve efficiency & reduce manual errors by Implementing semi-automated SMT work cells- ProvidE technical leadership for chassis, printed wiring, and harness assembly operations- Lead hardware/software integration support for power conversion units (Digital/Analog) Test Equipment Management- Serve as Manufacturing Engineer for AMRAAM Joint Service Depot test equipment department- Orchestrated build and integration of seven critical test stations for AMRAAM missile systems- Develop work instructions and manage supplier relationships for off-the-shelf equipment procurement Cost Management & Planning- Develop Bill of Materials (BOM) and provide capital asset justification for equipment investments- Estimate touch labor and non-recurring costs for high-value proposals- Manage contract liaison services for manufacturing operations: heat treating, painting, and plating Quality & Performance Management- Drive operational excellence through KPIs: Safety, Quality, Manufacturing Volume, On-Time Delivery- Applied Six Sigma methodologies for quality management, achieving predictable process results- Conduct root cause analysis (RCCA) and implement corrective actions for manufacturing problems
Education
Robert Morris University
Master's degree
2023 — 2025
Vivekananda Global University
Bachelor's in Engineering
2018 — 2022
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