NINAD SHETKAR

Project 1: EMS System (Schneider Electric - DC System, Netherlands)

Description: Developed a DC/DC converter system that functions as both a battery charger and a communication interface with the Battery Management System (BMS). Compatible with NiMH, Li-ion, and Lead battery storage systems, this solution is ideal for applications such as peak shaving, UPS (emergency systems), and grid-congestion management. It operates autonomously without external control and includes protections against various faults, including grid-side peak current faults, overvoltage, and battery overvoltage.

Skills and Technologies: C++, Modbus

Responsibilities:

• Developed product logic in C++.
• Resolved existing customers defects.
• Implemented multi-converter functionality.

Project 2: TeSys Island Predict POC (Schneider Electric)

Description: Developed TeSys Predict, an algorithm-driven solution based on Model-Based Voltage and Current (MBVI) techniques for predictive maintenance, condition monitoring, and energy management. This includes real-time system diagnostics and 1- and 3-month fault predictions. The Predict module, part of a larger configuration with TeSys Island BC, VIM, Starter & Predict modules, reads CAN data, generates CSV files for VI sampling, and provides input to the Faraday algorithm.

Skills and Technologies: C, CAN, Linux

Responsibilities:

• Developed product logic in C++.
• Implemented single and multi-starter functionality.
• Integrated predictive fault detection.

Project 3: Dpas-Lora (Schneider Electric)

Description: The Dpas-Lora system integrates three chips—EFR32 (BLE), Zigbee, and LoRa—for a range of IoT applications. Zigbee sensors like Power Tag, Heat Tag, and OFSD transmit data, events, and alarms through the LoRa chip to a gateway, while the BLE EFR32 chip connects to a mobile app (Android/iOS). EFR32 serves as the main controller, handling data management, firmware updates, LoRa packet transmission, and HMI status control.

Skills and Technologies: C, Communication Protocols, BLE EFR32

Responsibilities:

• Developed product logic in C.
• Enabled/disabled LoRa gateway features.
• Addressed customer-reported defects.

• Implemented Multi MQTT threading functionality

• Project 4: iWater Smart Shower - Intelligent Water Saving Solution using IoT (Superior IoT)
• Description: Developed an IoT-based water-saving solution incorporating BLE and Wi-Fi communications. Responsibilities included sensor calibration, peripheral driver interfacing, product logic development, and implementation of OTA updates via ESP32. The system includes Wi-Fi connectivity for remote monitoring and control, facilitating water conservation and usage efficiency.
• Skills and Technologies: C, Communication Protocols, BLE NRF52, ESP32, OTA firmware updates

Project 5: Access Control System (Print Electronics Equipment)

Description: Built a biometric attendance system that authenticates users through fingerprint scanning. Upon successful fingerprint verification against the stored database, an Employee Code (AID) is generated, which is then cross-referenced with the system database. Attendance is recorded if the employee is registered, and users can also clock in using an RFID card.

Skills and Technologies: C, UART, I2C

Responsibilities:

• Developed interfaces for multiple types of readers
• Implemented GUI applications in Python using the Tkinter library
• Memory leakage Issue

Project 6: WIPRO PIAM (Print Electronics Equipment)

Description: Designed to operate on Wipro’s proprietary PIAM protocol, this project involved configuring the device as a TCP/IP server to receive offline commands from a Wipro client application, as well as acting as a client to send online user records to the Wipro server. Additionally, the system uses UDP for IP configuration, FTP for firmware updates, and data backup.

Skills and Technologies: C, Shell Script, CGI programming for Webserver

Responsibilities:

• Developed new product features
• Enhanced business logic
• Implemented debug logs functionality.