DHINESH KUMAR SRINIVASAN

Results-driven Embedded Systems Engineer with 1.4 years of experience in post-silicon validation, system-level testing, and embedded systems development. Proficient in manual testing, BIOS validation, hardware/software debugging, and performance analysis for Intel x86 architectures. Skilled in DDR, NVMe, Python scripting, and validation tools such as BurnInTool, PTU, and SOCWatch. Demonstrated ability to deliver high-quality validation results, troubleshoot complex hardware/software issues, and improve system performance.

Project 1:

Sanitizing and Goods Carrying Robot for Supermarts:

• Developed an indoor goods transport and sanitation robot to automate the process of carrying goods and sanitizing supermarket aisles.
• Technologies Used: STM32 microcontroller, C, Embedded C, IR sensors, Ultrasonic sensors, DC motors, Servo motors, I2C, UART, FreeRTOS, AC to DC power supply.
• Implemented a cost-effective line-follower method using IR sensors for autonomous navigation on predefined paths.
• Integrated ultrasonic sensors for obstacle detection and avoidance, ensuring safe navigation through aisles.
• Designed algorithms for smooth turning and accurate stopping at designated points for loading and unloading goods.
• Developed an efficient robot control system using the STM32 microcontroller to handle sensor data processing, motor control, and communication with peripheral devices.
• Integrated a UV-C light sanitization system to disinfect surfaces as the robot moves through the aisles.
• Designed a modular attachment for the UV-C light to allow easy replacement and maintenance.
• Ensured compliance with safety standards for UV-C light exposure to prevent harm to customers and employees.
• Developed firmware for the STM32 microcontroller in C, utilizing the STM Cube IDE for development and debugging.
• Used FreeRTOS to manage multiple tasks such as navigation, obstacle detection, and sanitization concurrently.
• Implemented I2C and UART communication protocols for sensor data acquisition and inter-module communication.
• Challenges and Solutions: Enhanced obstacle detection accuracy and optimized power supply for consistent operation.
• Outcomes: Successfully deployed the robot in a supermarket environment, achieving autonomous navigation and effective sanitization, receiving positive feedback for operational efficiency and customer safety enhancement.

Project 2:

Design and Development of Smart Positioner System for Industrial Applications:

• Government project for Kerala State Department of Water Authority aimed at developing a smart positioner system to control the flow of water by adjusting the angle of the valves.
• Technologies Used: STM32 microcontroller, C, Embedded C, FreeRTOS, UART, I2C, rotary encoders, servo motors, AC to DC converter.
• Designed the system architecture to support multiple communication protocols, ensuring seamless integration of various components.
• Utilized STM32 microcontroller for robust performance and compatibility with various sensors and actuators.
• Implemented FreeRTOS for task scheduling, enabling efficient multitasking and real-time performance.
• Configured multiple tasks for handling sensor data acquisition, motor control, communication, and error handling concurrently.
• Utilized UART for serial communication with external devices, ensuring reliable data transfer.
• Implemented I2C protocol for communication between the microcontroller and sensors, providing a stable and efficient data exchange mechanism.
• Integrated rotary encoders to measure the precise angle of the valves, providing feedback for accurate position control.
• Developed algorithms for precise control of servo motors, ensuring smooth and accurate valve adjustments.
• Implemented error detection and correction mechanisms to handle any discrepancies in valve positioning.
• Implemented safeguards to protect the system from power surges and fluctuations, ensuring reliable operation.
• Wrote firmware for the STM32 microcontroller in C, utilizing the STM Cube IDE for development and debugging.
• Implemented real-time data processing and control logic to manage the smart positioner system effectively.
• Developed a user-friendly interface for monitoring and controlling the valve positions, allowing easy configuration and adjustments.
• Implemented visual indicators for system status, providing real-time feedback on the operation of the smart positioner.
• Challenges and Solutions: Faced integration challenges and precision control issues, solved by optimizing communication routines, fine-tuning control algorithms, and improving sensor calibration.
• Outcomes: Successfully deployed the smart positioner system, achieving precise control of water flow, enhancing efficiency and reliability of water distribution.

• Title: "Study and Implementation of Smart Positioner Prototype for Industrial Application"
• Conference: NIELIT's 2nd International Conference on Communication Electronics & Digital Technologies (NICEDT 2024), Guwahati, India | February 16-17, 2024
• Publisher: Springer Nature Singapore Pte Ltd (Springer LNSS)
• DOI: https://doi.org/10.1007/978-981-97-3604-1_6
• Link: https://link.springer.com/chapter/10.1007/978-981-97-3604-1_6#citeas