Rajkiran Battin

- Engineered an AI-based fault recognition system using YOLOv8, OpenCV, and PyTorch, integrated with predictive maintenance (PdM) workflows for early defect detection and real- time monitoring. Developed cost-effective fixture solutions, reducing material usage by 10–12%. - Enhanced maintenance accuracy by achieving 92% fault recall and reducing false positives by 6%, strengthening RCA and reliability analysis. - Improved inspection efficiency by 30% through automated vibration analysis (FFT) and visual ana

1.Engineered and prototyped 40+ 3D CAD models using SolidWorks, enhancing design accuracy and reducing rework time by 35% through advanced modeling techniques. 2.Transformed 100+ 2D drawings into detailed 3D models with AutoCAD, streamlining cross- team communication and cutting design-to-production lead time by 25%. 3. Administered product data via SAP ERP, ensuring 100% traceability and decreasing documentation errors by 20%, thereby enhancing data accuracy and compliance. 4. Innovated fixture designs usi

- Revitalized PA Fan Plumber Blocks applying vibration analysis with FFT and MATLAB, reducing downtime by 25% and extending equipment life by 30%. - Executed RCA on 20+ bearing failures using FMEA, SKF CMPT, and Minitab, boosting machinery reliability by 35%. Applied composite epoxy coatings and performed NDT (UT, PT) on HPCL gas lines, enhancing durability and cutting leak risk by 20%. - Optimized bearing mounting with hydraulic presses and induction heaters, reducing maintenance time by 15% while enforci