SASHANK TAMILARASAN

Louisville, KY +1-716-***-**** ad2sq6@r.postjobfree.com

EDUCATION

UNIVERSITY AT BUFFALO, Buffalo, New York Graduation Date: December 2023 Master of Science, Robotics

Relevant Coursework: Deep Learning for Robotics, Machine Learning, Computer Vision & Image Processing, Robotics -1, Robotics Algorithms, Robot Control Systems, Engineering Analysis, Rehabilitation Engineering. JNTU-H, TS- INDIA Graduation Date: August 2020

Bachelor of Engineering, Mechanical Engineering

Relevant Coursework: Machine Design, Thermodynamics, Strength of Materials, Automobile Engineering, CAD/CAM. SKILLS & COMPETENCIES

Python, ROS, C, Gazebo, Ansys, MATLAB, Simulink, SolidWorks, PLC, HMI, MS Office, SCADA, UI/UX, Docker, GIT, Troubleshooting and problem-solving, Database and documentation management. PROFESSIONAL EXPERIENCE

Assistant Engineer – Robotics NALA Robotics - TS, INDIA Aug 2020 – July 2022

• Successfully installed and set up ABB IRB 2600 robots, demonstrating proficiency in configuring robotic systems and utilized the robotic pendant along with RAPID programming, to teach the robot cooking tasks.

• Leveraged ABB Robot Studio to virtually design and simulate robotic cells to visualize and run various simulations.

• Implemented computer vision algorithms utilizing deep learning frameworks like TensorFlow and OpenCV to monitor cooking progress and quality, ensuring consistency in cooking.

• Increased production efficiency by 25% and reduced food waste by 30% by programing Siemens S7-300 PLC in LAD to automate a complex cooking process with proximity and thermal sensors.

• Designed control logic for robot arm manipulation, liquid flow regulation, and conveyor belt timing based on real-time data. Implemented safety features and error handling mechanisms to ensure smooth operation.

• Supervised Electricians, Technicians, and mechanical fitters with all aspects of interfacing with the robots, demonstrating effective leadership and communication skills. ACADEMIC PROJECT EXPERIENCE

Field Printing Robot Simulation: (Personal project) (Ongoing)

• Implemented simulation-based SLAM with vision and IR sensors, reducing construction site mapping time and significantly enhancing real-time precision in navigation compared to traditional methods.

• Optimized path planning with the simulation-based implementation of the A* algorithm, resulting in a 10-15% reduction in overall travel time on a medium-scale site.

• Developed proficiency in URDF modeling, Gazebo simulation, and RVIZ visualization while utilizing ROS2 packages, including the Navigation Stack, for effective path planning. Image Recognition on custom Human Gesture Dataset, University at Buffalo Feb 2023

• Designed and trained a CNN, achieving 79% accuracy in gesture detection. Demonstrated proficiency in deep learning architecture and image analysis.

• Implemented YOLOv8 for real-time object detection, achieving over 90% accuracy in identifying various gestures. Showcased expertise in using advanced object detection frameworks alongside real time analysis. Enhancing Stroke Rehabilitation with Adaptive Admittance Control, UB May 2023

• Developed an instability index based on frequency domain analysis to distinguish intended human movements from robot oscillations, facilitating safer and more natural therapy sessions.

• Demonstrated advanced skills in signal processing, providing a 20% improvement in motor control challenge quantification during physical human-robot interaction. Integrated Visual Odometry and Custom K-means Clustering, University at Buffalo Aug 2022

• Developed a robust SfM pipeline, showcasing proficiency in Python for coding and Open3D for point cloud generation, resulting in a 20% reduction in processing time.

• Precision-tuned visual odometry via K-means point cloud clustering (15% gain).