Yash Evalekar

Robotics Engineer with expertise in designing and optimizing robotic hardware and software for medical and industrial sectors. Demonstrated ability in developing real-time control algorithms and advanced kinematics, alongside proficiency in ROS, MATLAB, and C++. Proven success in validating robotic prototypes through rigorous simulation and testing, resulting in enhanced precision and efficiency in robotic systems.

Face Mask Detection using Deep Learning
TensorFlow/Keras, MobileNetV2, OpenCV | Nov–Dec 2021

• Implemented a real-time computer vision system to detect whether individuals are wearing face masks using a live camera feed.
• Used MobileNetV2 for classification and ResNet-based face detection to crop faces before prediction.
• Achieved high accuracy in classifying masked vs. unmasked faces, displaying live probability scores.

Obstacle-Aware Robot Trajectory Planning
Robotics, Kinematics, MATLAB | Feb–May 2020

• Designed a trajectory for a robot arm to move from an initial to a final position while avoiding obstacles.
• Maintained constant end-effector orientation, enforced joint angle and velocity constraints.
• Validated motion path using inverse kinematics and obstacle avoidance algorithms.

Connected Automated Vehicle (CAV) Optimization
Dynamic Programming, MATLAB | Feb–May 2020

• Developed a paper and simulation to optimize electric power consumption of an electric bus across road segments.
• Applied Dynamic Programming to derive a pre-computed lookup table for real-time energy-efficient control.
• Designed cost function to enable stop-free motion through traffic intersections, improving transit efficiency.

Railway Track Crack Detection System
Embedded Systems, IR/Ultrasonic Sensors | Jan–Apr 2018

• Built an embedded system capable of autonomously detecting cracks in railway tracks using ultrasonic and IR sensors.
• Aimed to reduce manual inspection and improve safety by enabling early crack detection.
• Implemented real-time sensor feedback and basic fault detection logic for track monitoring.

• System and Method for Automated Trocar and Robot Base Location Determination
  United States Patent Application Publication No. US 2024/0261028 A1, Published August 8, 2024
  Co-inventor; Filed February 2, 2023, assigned to EDDA Technology, Inc.
  Developed an automated system for determining surgical instrument insertion and robot base locations to optimize robotic-assisted surgical procedures.
• Featured in "University of Delaware Magazine" for Successfully completing project with Industrial partner Seafloor Systems Inc. (https://www.udel.edu/udaily/2021/september/student-robot-water-masters-program/)
• Successfully completed Microsoft Certification on “Software Developments Fundamentals” , Windows Form Application Development in C# using Visual Studios on the .NET Framework
• Presented paper in 4th International Conference (ICIRTE) on “Automatic Sorting Machine” held in Oct’17