Ananth Rahul Somayaji Somayaji

Assistant manager at JSW Steel with expertise in electrical system optimisation and predictive maintenance. Proficient in PLC and SCADA systems, contributing to enhanced process efficiency and operational reliability through data-driven analysis. Utilised methodologies such as root cause analysis (RCA) and failure mode and effects analysis (FMEA) to support initiatives that improved system performance. Currently pursuing a Master of Professional Engineering (Electrical) at the University of Sydney, specialising in intelligent information engineering, focusing on embedded intelligent systems and signal processing. Additionally, I have demonstrated English language proficiency with an IELTS score of 7.0, supporting effective communication in academic and professional environments.

• Illumination patterns and Hue Control using hand gesture recognition system, 07/01/2022, 05/07/2023, Developed a hands-free and affordable device control system for the disabled using dynamic gesture recognition.
• Electrowetting based Droplet Manipulation System (EDMAS), 10/2022, 05/2023, Developed a PCB of 32 electrodes for lab-on-a-chip diagnostics and environmental monitoring.
• Centralized dedusting system and PI vision Integration, 06/18/2024, 10/06/2024, Developed a centralized dedusting system with Siemens Scalance LIU for PLC-to-network communication.

International Conference on Advances in Engineering and Medical Sciences 2024, 04/19/2024, 04/20/2024, Presented a paper titled 'Illumination pattern and Hue control using Hand Gesture recognition System'. The paper is set for IEEE publication in January 2025.

• Automate data collection from motors, PLCs, and drives to make trend reports complete through Power BI for good decision-making and predictive maintenance.
• Installed and assisted in commissioning a new weigh scale system for analysing coke in the CDQ (Coke Dry Quenching) unit, enabling accurate measurement and monitoring of coke output for process analysis.
• Performed configuration and setup of the Versitalis system for operational monitoring and system integration within the plant automation environment.
• Supported the installation and implementation of a new PLC-based control system in the battery unit for LOCO movement, improving automated control and operational coordination within the coke battery area.

• Best Project Award, MS Ramaiah Institute of Technology, 05/2023, Received for Electrowetting based Droplet Manipulation System (EDMAS).
• CCQC Gold Standard Award, CCQC Forum, 09/28/2024, Received for the best kaizen for QR code based electrical drawing digitalization.