I'm a Software Engineer R&D at HAHN Automation Group, where I work at the intersection of advanced control theory and next-generation industrial software. My journey started in Mumbai programming PLCs on the factory floor — and has evolved into designing AI/ML-powered systems that redefine industrial automation.
Holding a Master's in Control Engineering from Technische Hochschule Mittelhessen (Germany) and with a published paper on Automotive Cybersecurity (ISO/SAE 21434), I bring both theoretical depth and real-world engineering pragmatism to every challenge.
I speak the language of both factory floors (IEC 61131-3, SCADA, VFDs, FAT/SAT) and research labs (Python, C++, EKF, adaptive control, ML) — making me uniquely effective at bridging the OT and IT worlds.
Complete SCADA overhaul for a major oil & gas pipeline system — migrating 4,000+ process tags from legacy Indusoft to modern Cimplicity architecture with zero operational downtime.
Designed a customized, cost-effective IIoT solution to digitize analog chart recorder data using Siemens IOT2040, enabling real-time cloud monitoring via Thingsboard — eliminating manual paper-based logging.
PLC and HMI programming for 2 and 4 cavity PET blowing machines using Siemens S7-1200 and S7-200, achieving a measurable 5% improvement in production throughput.
Developed SCADA and PLC control for an atomizer spray dryer producing 500 kg/hr of fine ceramic powder, ensuring precise temperature, pressure, and flow control throughout the drying process.
Full PLC and SCADA implementation for a continuous solvent recovery process using triple-effect evaporation, ensuring safe and efficient chemical plant operation with full alarm management.
Designed and implemented an EKF for real-time non-linear state estimation of an inverted pendulum system. Validated theoretically and against physical hardware with measurable accuracy improvements.
Simulated adaptive current control strategy and speed observer for DC motor, demonstrating robustness against parameter variations and load disturbances through Python-based simulation.
Developed a state observer simulation for an induction machine to estimate rotor flux and speed without direct measurement, enabling sensorless control strategies for motor drives.
Simulated and optimized an RF velocity sensor and electromagnetic coil accelerator for a GraviTrax marble run. Involved EM simulation (CST Studio Suite) and embedded firmware on STM32.
End-to-end IoT greenhouse automation — integrated sensor arrays, LoRaWAN connectivity via The Things Network (TTN), and cloud-based monitoring for fully autonomous climate management.
A comprehensive comparative analysis of four automotive E/E architecture types — evaluating their cybersecurity threat landscape, vulnerabilities, and recommended mitigation controls in alignment with ISO/SAE 21434. The paper provides a clear comparative framework and suggests design improvements for security-by-design in next-generation automotive systems.
Advanced studies in linear/non-linear control, state space methods, adaptive control, and digital signal processing. Master's thesis completed within HAHN Automation Group R&D.
Specialized training in automotive cybersecurity, TARA methodology, and ISO/SAE 21434. Culminated in a peer-reviewed publication in MDPI.
Certified training on Wonderware InTouch SCADA and ITME platform for industrial HMI development.
Intensive training across Siemens, Schneider, Allen-Bradley PLC platforms, SCADA systems, industrial networking, and drive configuration.
Foundation in electrical machines, power systems, analog & digital electronics, and microcontrollers. Served as IEEE Student Branch Link Representative.
Whether it's a collaboration, a research discussion, or a conversation about the future of industrial automation — I'd love to hear from you.