Machine Vision & Robotics Automation Engineer

SHESHNAG DALBANJAN

Bengaluru, Karnataka +91-827**-***** ********.**@*****.*** LinkedIn

PROFESSIONAL SUMMARY

Automation and Robotics graduate with hands-on experience in machine vision, embedded systems, industrial au- tomation, and robotics. Currently working as an R&D Intern at SensoVision Systems, focusing on feasibility analysis, vision-based inspection, camera integration, and automation solutions. Experienced in ROS2, computer vision, embedded systems development, real-time control, sensor fusion, and industrial communication protocols including TCP/IP, RS232, UART, I2C, and SPI. Passionate about developing innovative machine vision, robotics, and automation solutions that bridge research concepts with real-world industrial applications. TECHNICAL SKILLS

Languages: Python, C++, Embedded C, MATLAB

EmbeddedSystems: STM32, ESP32, Arduino, RaspberryPi,NVIDIAJetsonNano,RTOS,Microcontroller Programming Robotics & Simulation: ROS2, Gazebo, CoppeliaSim, RViz, Nav2, Robot Kinematics, Path Planning, SLAM Machine Vision & AI: OpenCV, YOLO, TensorFlow, Image Processing, Object Detection, Deep Learning Industrial Automation: Motion Control, Sensor Integration, PID Control, System Integration, PLC Basics Communication Protocols: TCP/IP, RS232, UART, I2C, SPI, Modbus TCP, Serial Communication, RFID, Wi-Fi, Bluetooth

WORK EXPERIENCE

R&D Intern SensoVision Systems Pvt. Ltd. Bengaluru, Karnataka May 2026 – Present Tech: Embedded Systems, Robotics, Python, Machine Vision, Industrial Protocols

• Worked on embedded systems, machine vision, and robotics integration for industrial automation applications.

• Supported R&D activities involving industrial cameras, vision systems, and automation equipment.

• Developed and tested embedded solutions for real-time control and communication applications.

• Worked with industrial communication protocols including TCP/IP, RS232, UART, and Modbus TCP.

• Assisted in feasibility studies, system integration, and evaluation of vision-based inspection systems.

• Contributed to robotics and vision-guided automation projects involving industrial machines and motion control systems. R&D Intern TechyGuide Pvt. Ltd. Bengaluru, Karnataka Nov 2025 – Apr 2026 Tech: Raspberry Pi, Python, OpenCV, Whisper, Piper TTS, LLM Integration

• Developed an AI-powered educational assistant on Raspberry Pi by integrating a Llama-based Large Language Model for real-time conversational interaction.

• Implemented Whisper speech recognition and Piper TTS to enable natural voice-based human-computer interaction.

• Integrated USB camera modules for visual feedback and multimodal AI processing on resource-constrained edge devices.

• Designed IoT and embedded applications involving sensor integration, communication interfaces, and real-time data processing using Python.

• Built computer vision applications using OpenCV for image processing, object detection, and AI-based interaction tasks.

• Conducted research and prototyping of edge AI solutions, optimizing AI applications for embedded platforms and low-power devices.

Robotics Intern Farmercoin Smart Robotics Solutions Pvt. Ltd. Bengaluru, Karnataka Jan 2025 – Jun 2025 Tech: ROS2, CoppeliaSim, NVIDIA Jetson Nano, Nav2

• Developed a digital twin of a 5-DOF collaborative robotic arm using ROS2 and CoppeliaSim on NVIDIA Jetson Nano.

• Implemented ROS2-based communication for real-time interaction between the robotic armand simulation environment.

• Integrated encoder feedback and joint-state data for monitoring and synchronization of robotic arm movements.

• Performed robotic arm kinematic analysis, motion control, and simulation-based validation of manipulator operations.

• Worked with ROS2 packages, RViz, and simulation tools for visualization, testing, and system integration.

• Developed an Autonomous Mobile Robot (AMR) digital twin using ROS2 for simulation and navigation studies, and explored path planning using the Nav2 framework.

PROJECTS

ADAS Simulation (ROS2 – Gazebo)

Tech: ROS2, Gazebo, RViz, Blender, TensorFlow, Python, OpenCV

• Developed a ROS2-Gazebo simulation of an Advanced Driver Assistance System (ADAS) featuring lane detection, obstacle avoidance, and adaptive cruise control.

• Designed and integrated 3D simulation models in Blender to create a realistic virtual environment for testing and validation.

• Integrated TensorFlow-based object detection for real-time perception and obstacle recognition.

• Implemented the A* path planning algorithm for autonomous navigation and route optimization. Autonomous Cartesian Robot for Painting Application Tech: Embedded C, Python, Raspberry Pi, OpenCV, SolidWorks, PID Control

• Developed embedded firmware for real-time multi-axis stepper motor control and motion sequencing.

• Designed the mechanical structure and assembly of the Cartesian robot using SolidWorks for simulation and fabrication.

• Integrated OpenCV-based vision processing for workpiece alignment and painting quality inspection.

• Implemented PID-based motion control to improve positioning accuracy and operational stability. EDUCATION

Bachelor of Engineering – Automation and Robotics 2021 – 2025 K.L.E. Technological University, Hubballi CGPA: 7.21 / 10.0 LEADERSHIP & ACHIEVEMENTS

• Represented K.L.E. Technological University as a University Blue Badminton Player for three consecutive years.

• Won multiple badminton championships at inter-college and open tournaments.

• Served as Sports Head of the Automation and Robotics Association (2023–2025).

• Coordinated and organized technical, cultural, and sports events, collaborating with faculty members and student teams.

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