Highly motivated Mechatronics Engineer graduating in June 2026, specializing in Industrial Automation, Computer Vision, and Intelligent Control Systems. Proven ability to develop and deploy AI-powered inspection systems, Digital Twins, and advanced PLC automation, demonstrated through impactful projects in quality assurance and motor control. Eager to leverage expertise in integrating AI vision, IoT, embedded systems, and industrial software to create deployable engineering solutions and drive innovation in advanced manufacturing environments.
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Bachelor of Engineering (BE)
Mechatronics, Robotics, and Automation Engineering
Courses
Industrial Automation
Computer Vision
Intelligent Control Systems
AI-powered Inspection Systems
Digital Twins
PLC Automation
MATLAB/Simulink Control Architectures
Embedded Systems
Industrial Software
Python, YOLO, TensorFlow/PyTorch, OpenCV, X-AnyLabeling.
C/C++, Matlab/Simulink, Object-Oriented Programming (OOP), SQL Server Integration Services, Solidworks, Unity Engine, Labview, Proteus & Multisim, Digital Twins, TIA Portal, Factory I/O, Signal Processing, Cisco Packet Tracer, Gazebo/ROS2.
PLC, SCADA & HMI, IoT & Industry 4.0, Robotics & Motion Control, manufacturing processes, Industrial Networking.
Project Management, Scientific Research & Technical Writing, Professional Ethics, Problem Solving, Industrial Safety.
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Summary
Developed an end-to-end AI-powered quality inspection system for transparent plastic bottle products, integrating computer vision, automation, and advanced testing methodologies to enhance production efficiency.
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Summary
Designed an advanced research-oriented control architecture for Permanent Magnet Synchronous Motors (PMSM) using Nonlinear Model Predictive Control (NMPC) with Soft Actor-Critic (SAC) reinforcement learning adaptation.
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Summary
Designed and implemented a comprehensive Digital Twin environment for an AI-driven inspection system, integrating mechanical design, computer vision, and real-time actuation.
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Summary
Architected and validated a Virtual Commissioning environment for a high-speed production line by seamlessly bridging Siemens TIA Portal with Factory I/O.