Robotics and AI Engineer at Svashasan Labs (2025-02 – Present)
- Engineered a complete autonomous vehicle simulation system in CARLA and ROS2, integrating camera, radar, GPS, and IMU sensors to publish real-time data for perception and control algorithm development.
- Developed a modular ROS2 framework for a simulated ego vehicle, enabling rapid prototyping and testing of autonomous driving stacks in diverse, realistic urban environments.
Robotic Engineer at Misticus Mind (2023-09 – 2024-12)
Autonomous Mobile Robot Development Autonomous Navigation of a Mobile Robot
- Collaborated with cross-functional teams to streamline the design process, resulting in innovative solutions that reduced project timelines and improved team synergy.
- Designed a comprehensive system architecture for robotic applications, integrating hardware and software components, enhancing system efficiency.
- Streamlined the integration of hardware components with ROS middleware, ensuring seamless communication and enhancing overall system reliability.
- Defined and optimized ROS nodes for specific tasks, streamlining communication and task execution, which significantly improved project workflow.
- Implement algorithms for tasks such as sensor data processing, localization (SLAM), path planning, and manipulation.Integrate hardware components with ROS middleware, ensuring proper communication through topics, services, and actions.
- Test the system in simulation environments like Gazebo or Rviz to validate algorithms and behaviors before deployment.
- Developed an accurate environmental map using laser scan data from simulated sensors, enhancing navigation capabilities.
- Implement localization and Navigation package to estimate the robot's pose (position and orientation) within the mapand to plan and execute autonomous navigation. Configure the package to use the generated map for path planning and obstacle avoidance.
Research at College of Engineering Pune (2022-10 – 2023-08)
Machine Vision-based Fruit Detection
- Designed and implemented YOLO v7-Fruit algorithm for fruit detection.
- Gather and curate a diverse dataset of images containing various types of fruits in different lighting conditions.
- Annotate and preprocess the dataset to make it suitable for training the deep learning model.
- Implement techniques to handle illumination variation and maintain accuracy. Achieved high accuracy, with mAP up to 85%, precision at 77.9%, and recall of 83.8%.
- Ensured real-time performance (5fps to 160fps) for deployment in automated harvesting systems.
Data Science Intern at Ovonts Technologies (2022-10 – 2023-01)
- Proficient in data preprocessing, including cleaning and transforming raw data into an analysis-ready format.
- Utilized Python, Pandas, and SQL for data manipulation and cleaning, ensuring data accuracy and reliability.
- Created impactful data visualizations using tools like Matplotlib and Seaborn to convey insights clearly and persuasively.
E-Plan Design Engineer at Schneider Electric India (2019-04 – 2021-05)
E-Plan Design Engineer at L&T Electrical and Automation (2018-12 – 2019-03)
- Prepared, reviewed and redrafted alongside engineering teams to complete satisfactory Control Panel designs for Engineers India Limited (EIL), Hindustan Petroleum Corporation Limited (HPCL),BGR Energy Systems Limited.
- Communicated with Customers and engineers and incorporated knowledge gained into drawings.
