Home / Faculties / Pranay Navyakranth

Pranay Navyakranth

Quick facts

Mr. Pranay Navyakranth is a Faculty Associate at the Bajaj Engineering Skills Training (BEST) Centre, Mahindra University, with 10 years of experience in IoT, Embedded Systems, and Industrial IoT (IIoT). He holds an M.Tech in Embedded Systems from B V Raju Institute of Technology and a B.Tech in Electronics and Communication Engineering from Malla Reddy Engineering College. He has experience in Industrial Automation, IoT cloud applications, and technical training, with expertise in platforms and technologies including TI C2000, STM32, Arduino, ESP32, Raspberry Pi, AWS IoT, Node-RED, Mendix Application Development and Siemens Insights Hub. He has also published three research papers in IoT and has been recognized with Best Trainer (2024) and Best Teacher (2020–21) awards.

Publications

No publications added yet.

Research

No Research Interests added yet.

Pranay Navyakranth

Faculty Associate

Mr. Kotte Pranay Navyakranth is currently a Faculty Associate at the Bajaj Engineering Skills Training (BEST) Centre, Mahindra University, with 10 years of experience in IoT, Embedded Systems, Industrial IoT (IIoT), industrial automation, and technical training. He holds an M.Tech in Embedded Systems from B V Raju Institute of Technology and a B.Tech in Electronics and Communication Engineering from Malla Reddy Engineering College.

Mr.Navyakranth has professional experience spanning academics, application development, IoT solutions, Industrial Automation, and Industry-oriented training. His previous roles include Application Developer at Orange Research Labs, Assistant Professor at Malla Reddy Institute of Engineering and Technology, IoT Lead Developer at Make Skilled, and Project Engineer – Siemens Academics at 3D Engineering Automation LLP. His work has involved IoT and Embedded Systems application development, IIoT solutions, smart manufacturing, technical training, and IoT-cloud integration using Siemens Gateway – MindConnect Nano and Insights Hub.

His current focus is on firmware development and training for Electric Vehicles (EV), HVAC, Energy Management, and Process Instrumentation, using TI C2000, STM32, and industry-grade sensors, actuators, and communication peripherals. He has also published three research papers in IoT and Artificial Intelligence and received Best Trainer (2024) and Best Teacher (2020–21) awards.

  • 2013 – 2016: M.Tech in Embedded Systems, B V Raju Institute of Technology, Telangana, India
  • 2008 – 2012: B.Tech in Electronics and Communication Engineering, Malla Reddy Engineering College, Telangana, India

  • “Body and Fall Detection System with Heart Rate Monitoring,” International Journal of Research, 2019.
  • “Third Eye Development for Blind Person using Artificial Intelligence,” International Journal of Research, 2019.
  • “Survey on Agriculture Productivity System using IoT,” International Journal of Research, 2019.

  • August 2026-  Present – Faculty Associate,  BEST, Mahindra University.
  • June 2023 – July 2026: Project Engineer – Siemens Academics, 3D Engineering Automation LLP, NIT Warangal
  • July 2022 – December 2022: IoT Lead Developer, Make Skilled
  • June 2019 – September 2021: Assistant Professor, Malla Reddy Institute of Engineering and Technology
  • June 2015 – June 2018: Application Developer, Orange Research Lab

His research interests focus on IoT, Embedded Systems, Industrial IoT (IIoT), firmware development, and industrial automation. His current research and technical focus are on developing embedded and firmware-based solutions for Electric Vehicles (EV), HVAC, Energy Management, and Process Instrumentation, with an emphasis on real-time control, monitoring, data acquisition, and automation. He is particularly interested in microcontroller-based control and embedded applications using platforms such as TI C2000 and STM32, along with the integration of industry-grade sensors, actuators, and communication peripherals. His broader research interests include IoT-enabled systems, industrial automation, smart manufacturing, IoT-cloud integration, and Artificial Intelligence applications.

Make an enquiry Chat with a student