Prem Kumar Reddy
SCADA / Controls / Automation Engineer
ABOUT ME
I am a SCADA, Controls, and Automation Engineer with experience delivering Ignition Perspective/Gateway systems for BMS, EPMS, HVAC, and industrial monitoring projects. My work focuses on turning controller and field data into reliable operator workflows: UDTs, faceplates, alarms, historian/trends, dashboards, reports, and commissioning-ready displays.
At Hoffman Building Technologies, I worked on large controls projects where my responsibility was not only to build operator screens, but to help validate the full controls chain from field equipment and controller points to SCADA graphics, alarms, trends, and operator workflows. I supported run/enable logic, start/stop behavior, auto/manual workflows, command/status validation, VFD and fan status, speed reference points, occupancy schedules, alarm verification, point checkout, loop-check style validation, QA/QC testing, and commissioning documentation.
I am comfortable working within structured project environments where safety, quality, documentation, and communication are critical. I have used Azure DevOps and Git to support work items, PRs, import logs, verification plans, QA/QC documentation, and punch-list follow-up. I have also used Python, PowerShell, Ignition scripting, SQL, and JavaScript to support tag exports, engineering-unit audits, UDT validation, alarm readiness checks, historian reviews, and production-import evidence.
My technical foundation is supported by a Master’s degree in Electrical and Electronics Engineering, along with experience in PLC/HMI fundamentals, Siemens S7-1200/TIA Portal coursework, ladder logic, FBD/ST concepts, I/O mapping, permissives, interlocks, setpoints, FAT/SAT, commissioning, and controls troubleshooting. I also have a background in digital twin, robotics, smart-grid cybersecurity, DNP3 communication, MATLAB/Simulink, Unity, HoloLens, ROS, and Python-based anomaly detection.
I consider myself a team-oriented engineer who communicates well with project managers, engineering leads, PLC programmers, field technicians, and commissioning teams. I enjoy working through technical problems by using data, trends, alarms, controller values, and field feedback instead of assumptions. I value safety, accountability, continuous learning, and clear documentation.
What motivates me most is working on real automation systems where software, controls, electrical systems, mechanical equipment, and field commissioning all come together. I want to continue growing as a controls engineer who can support design, programming, SCADA/HMI development, troubleshooting, commissioning, client communication, and eventually technical project leadership.
Accomplishment
Participation
SKILLS AND SOFTWARE
PROJECTS
Supported SCADA development and commissioning readiness for a large industrial Ignition environment covering HVAC, BMS, EPMS, and facility equipment. Worked with Ignition Perspective/Gateway, TOP Server OPC UA, BACnet, Modbus, Red5 EDGE/BAS controller data, UDT instances, reusable faceplates, alarms, historian/trends, production imports, and QA/QC validation workflows.
Helped translate sequences of operation, point lists, controller object names, and commissioning feedback into operator-ready SCADA displays and diagnostics. Validated command/status behavior, run/enable logic, VFD and fan status, speed references, alarm states, tag quality, and trend behavior to support commissioning and owner readiness.
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Tools: Ignition Perspective, Ignition Gateway, TOP Server OPC UA, BACnet, Modbus, UDTs, Alarms, Historian/Trends, Python, PowerShell, Azure DevOps, Git.
CODC / Tecfusions Clarksville: BMS, EPMS
Developed and supported Ignition-based EPMS graphics and operator workflows for data-center-style power monitoring systems. Built and maintained interfaces for UPS, PDU, breaker, meter, alarm, and navigation screens to help operators monitor electrical infrastructure and respond to abnormal conditions.
Supported reusable component standards, faceplates, tag organization, alarm/navigation workflows, and commissioning support patterns. Helped improve visibility into power equipment status, alarms, and diagnostics so project teams could validate system behavior during startup and commissioning.
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Tools: Ignition Perspective, EPMS, UPS/PDU/Breaker/Meter Interfaces, Alarm Management, Equipment Dashboards, UDTs, Historian/Trends, Azure DevOps, Git.
Anomaly Detection in Smart Grids Using Machine Learning
Developed a machine-learning based anomaly detection model for smart-grid systems using data from a hardware-based testbed. The project focused on identifying abnormal behavior in power-system communication and operation, including potential cyber-physical events affecting smart-grid devices.
Built the detection model using Isolation Forest to isolate outliers from standard operating data. Performed feature selection using Principal Component Analysis and evaluated model performance using simulation results from the testbed. The model was further analyzed using the Dickey-Fuller test and published in IEEE IECON 2021.
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Tools: Python, Machine Learning, Isolation Forest, Principal Component Analysis, Smart Grid Testbed, MATLAB/Simulation Data, Dickey-Fuller Test, IEEE Research Publication.
Secure Communication with Raspberry pi's with DNP3.0
Designed a secure microgrid communication testbed using Raspberry Pi devices configured as distributed power-system nodes. The project simulated communication between smart-grid devices using the DNP3 protocol, focusing on secure device-to-device data exchange in a cyber-physical power-system environment.
Implemented TLS-based communication using generated certificates, public/private keys, and configured IP-based communication between Raspberry Pi devices. The project helped demonstrate secure communication, authentication, and protection concepts for smart-grid and industrial control environments.
Tools: Raspberry Pi, DNP3, TLS Certificates, Public/Private Keys, Secure Communication, Microgrid Testbed, Power-System Devices, Cybersecurity.
Smart Parking System in EAGLE CAD
Designed a prototype smart parking system with schematic and PCB layout development in EAGLE CAD. The system used sensor-based detection to identify parking-space availability and help determine empty spots in a parking lot.
Created the electronic design concept for the prototype, including circuit planning, board layout, component selection, and sensor integration. The project focused on combining embedded electronics, PCB design, and real-world sensing into a compact parking detection system.
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Tools: EAGLE CAD, PCB Design, Circuit Design, IR Sensors, UV Sensors, Embedded Systems, Sensor Integration, Prototype Design.