Sahithi Kota

Control Engineer with 3+ years of experience designing, implementing, and optimizing industrial automation systems across manufacturing and process environments. Proven expertise in PLC programming, SCADA systems, and HMI development to deliver reliable and efficient control solutions. Strong knowledge of Advanced Process Control, PID tuning, and feedback and feedforward control strategies to enhance system stability and process performance.

Experienced in calibration, testing, and executing Factory Acceptance Testing (FAT) and Site Acceptance Testing (SAT) to ensure system accuracy and compliance with technical requirements. Solid understanding of HAZOP principles and adherence to IEC and ISA standards to ensure safety, reliability, and regulatory compliance in control system operations.

Control Engineer - EPIC Systems Group - USA

(2025-08)

• Designed robust PLC programming solutions for industrial automation and modular process skids, developing structured ladder logic and control architectures that improved process reliability by 26%, while ensuring seamless integration with field instrumentation and minimizing system downtime.
• Architected SCADA systems, configuring real-time data acquisition, alarm management, and user-friendly HMI interfaces in Ignition and FactoryTalk View, which enhanced operational visibility by 30%, enabling faster decision-making and efficient remote monitoring across plant operations.
• Conducted PID tuning and loop optimization on continuous liquid processing lines, stabilizing control loops and reducing process variability, achieving a 20% improvement in response accuracy while minimizing overshoot and ensuring consistent performance under varying load conditions.
• Implemented EtherNet/IP and Profinet communication systems, enabling reliable connectivity between PLCs, VFDs, I/O devices, and supervisory platforms, improving data exchange efficiency by 28% while ensuring scalable and fault-tolerant network performance.
• Executed Factory Acceptance Testing (FAT) activities on custom-built automation panels and modular skids, ensuring systems met all functional and technical specifications and resolving logic issues during pre-deployment stages, achieving a 35% reduction in commissioning challenges.
• Utilized MATLAB/Simulink integrated with HAZOP principles to model control dynamics and support safer control system design, contributing to a 22% improvement in system safety and overall design accuracy through structured risk evaluation and mitigation.

Control Engineer - Sofcon Systems - India

(2022-07 - 2024-06)

• Engineered Distributed Control Systems (DCS) for industrial processes using Schneider EcoStruxure and Siemens platforms, optimizing control logic and system architecture, enhancing real-time monitoring capabilities, and improving plant reliability by 28% across critical operations.
• Executed Advanced Process Control (APC) solutions using predictive algorithms and multivariable control techniques, improving production efficiency by 22%, reducing process variability, and optimizing overall operational performance.
• Configured Profibus and Modbus communication networks across PLC systems, remote I/O modules, motor control centers, and field instrumentation, reducing communication faults by 30% and ensuring reliable automation performance in industrial environments.
• Directed Site Acceptance Testing (SAT) for client automation systems, including control logic validation, I/O verification, loop checking, and interlock checks, ensuring compliance with technical specifications and reducing post-commissioning defects by 25%.
• Implemented control solutions using Siemens TIA Portal and Wonderware InTouch, incorporating advanced PLC logic structures, intuitive HMI interfaces, and diagnostic tools, resulting in a 35% improvement in system responsiveness, streamlined operator interaction, and faster troubleshooting capabilities.
• Performed IIoT integration solutions connecting industrial control systems with cloud-based platforms, enabling 30% faster real-time data acquisition, enhancing system visibility, and driving improved operational efficiency across industrial processes.
• Ensured compliance with IEC and ISA standards across control systems, improving system safety by 20%, strengthening interoperability between devices, and aligning engineering practices with international regulatory requirements.

Master of Science (M.S.) - Information Systems - Cleveland State University (2026-05)

Bachelor of Technology (B. Tech) - Information Technology - Vardhaman College of Engineering (2024-05)