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Comprehensive technical abilities spanning automation, programming, AI, and electrical systems
Expert Level
Extensive experience in designing, programming, and commissioning programmable logic controllers for industrial machinery and production lines. Proficient in multiple PLC platforms and programming languages with hands-on implementation of complex control algorithms.
Expert Level
Design and development of intuitive Human-Machine Interfaces and supervisory control systems. Expertise in creating operator-friendly interfaces with real-time monitoring, data visualization, alarm management, and trend analysis for industrial processes.
Expert Level
Complete lifecycle management of electrical control panels from concept to commissioning. Skilled in creating detailed electrical schematics, panel layouts, component selection, wiring implementation, and on-site installation with safety compliance.
Advanced Level
Configuration and troubleshooting of industrial communication protocols and networks. Experience with various fieldbus systems, Ethernet-based industrial protocols, and device integration for seamless data exchange across automation systems.
Advanced Level
Proficient in Python for data analysis, machine learning applications, automation scripts, and scientific computing. Extensive use in research projects, including deep learning model development and data processing pipelines.
Advanced Level
Strong foundation in C/C++ for embedded systems development, system-level programming, and performance-critical applications. Extensive teaching experience in algorithms, data structures, and object-oriented programming principles.
Intermediate Level
Development of Windows desktop applications using C# and the .NET Framework. Experience in creating GUI applications, industrial HMI software, and automation tools with database connectivity and real-time data visualization.
Intermediate Level
Mobile application development for Android platform with experience in teaching Android development courses. Knowledge of mobile UI/UX design, activity lifecycle, data persistence, and integration with backend services.
Advanced Level
Extensive research and practical experience in computer vision applications. Developed published research on traffic light detection systems using CNN-based approaches. Proficient in image preprocessing, feature extraction, and real-time object detection systems.
Advanced Level
Hands-on experience designing, training, and deploying deep neural networks for various applications. Expertise in convolutional neural networks (CNNs) for image classification, model optimization, and transfer learning techniques with published research outcomes.
Advanced Level
Academic and research background in pattern recognition methodologies. Experience with various classification algorithms, feature selection techniques, and statistical pattern recognition approaches for automated decision-making systems.
Intermediate Level
Current research focus on Graph Neural Networks (GNN) integration in recommender systems. Working on a comprehensive survey paper analyzing advancements in GNN architectures and their applications in recommendation algorithms.
Expert Level
Comprehensive experience in embedded systems design using AVR (ATmega series) and PIC microcontrollers. Teaching embedded systems courses with hands-on laboratory implementation. Expertise in peripheral programming, interrupt handling, and real-time system development.
Advanced Level
Skilled in complete PCB design workflow from schematic capture to layout optimization and manufacturing preparation. Experience with multi-layer board design, component placement, signal integrity considerations, and design for manufacturability (DFM).
Expert Level
Strong foundation in both digital and analog circuit design. Teaching experience in electronics courses covering digital logic design, combinational and sequential circuits, operational amplifiers, transistor circuits, and power electronics fundamentals.
Intermediate Level
Teaching experience in assembly language programming for microcontrollers and processors. Understanding of low-level hardware interaction, instruction sets, memory management, and optimization techniques for resource-constrained embedded systems.
Expert Level
Over 10 years of hands-on experience in industrial electrical installations. Expertise in power distribution systems, cable sizing and routing, grounding systems, and compliance with electrical safety standards. Field experience in commissioning and maintenance.
Advanced Level
Design and implementation of solar photovoltaic systems including panel sizing, inverter selection, battery storage systems, and grid integration. Knowledge of solar system optimization, energy yield analysis, and off-grid power solutions.
Expert Level
Professional-level proficiency in EPLAN Electric P8 for creating comprehensive electrical documentation. Experience producing detailed schematics, panel layouts, terminal diagrams, cable schedules, and parts lists for industrial automation projects.
Advanced Level
Academic training and practical experience in industrial instrumentation. Understanding of measurement principles, sensor technologies, signal conditioning, calibration procedures, and integration of field instruments with control systems.
Advanced Level
Comprehensive training in research methods from master's program. Experience conducting qualitative and quantitative research, literature reviews, statistical analysis, and academic writing. Published research in peer-reviewed journals with additional work under review.
Advanced Level
Master's level education in project management, Total Quality Management (TQM), and Six Sigma methodologies. Experience applying these principles in industrial automation projects, including planning, execution, monitoring, and process improvement initiatives.
Expert Level
11+ years of university teaching experience across 15+ technical courses. Developed strong presentation skills, ability to explain complex concepts clearly, curriculum development, and mentoring students. Effective communication in multilingual environments.
Advanced Level
Experience leading automation projects and coordinating with cross-functional teams including mechanical engineers, production staff, and management. Proven ability to work collaboratively in industrial environments and academic settings.
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