B.Tech in Mechanical Engineering with an interest in Robotics, Computer Vision, Machine Learning. Willing to work in cross platform fields and possess basic knowledge of coding and software systems including Python, ROS, Gazebo, UGNX, MATLAB, OpenCV, Keras, Tensorflow, PyTorch. Interested to work in a start-up environment.
- National Institute of Technology, Surat (June 2013 - May 2017)
- Bachelor of Technology
- Department of Mechanical Engineering (Overall CGPA: 8.40)
- Machine Learning: Keras, Tensorflow, PyTorch
- Programming: Python, MATLAB, OpenCV
- Designing: Solidworks, UGNX
- Robotics: ROS, Arduino, Gazebo
Data Scientist
- Developing machine learning models for computer vision.
- Working on Convolutional Neural Networks to train models for detection of age, gender and emotions in facial images.
- Using transfer learning in Keras and Tensorflow.
Tehcnical Consultant
- Working on finnding a solution for video streaming on drone via wifi and RF based modules.
- Using ROS and Gazebo to provide a method for simulating stereo camera on a drone and utilizing the data further for image processing.
- Currently working remotely from Navi Mumbai. Company is based in San Francisco, US.
Assistant Manager, R&D Divison
- Conducted a technical study on the use of plastic fender in automobiles.
- In-charge of the development of exterior plastic parts of an automobile from sourcing till the production stage.
Robotics engineer intern
- Developed an obstacle avoidance system in quadrotors using a stereo camera.
- System was able to detect and avoid obstacles based on depth data from camera.
- Algorithm was built using python, ROS and OpenCV. Testing was done on Gazebo simulator.
Research Intern
- Worked on a research project involving testing of photo-catalytic degradation of dye.
Final year University Project
- A neural network was used to find solutions to the problem of forward kinematics of a stewart gough platform in real-time.
- Created a working model using stepper motors, arduino board and python algorithm.
Miniature-Satellite making competition
- Project lead, worked on mechanical design and testing of components. Our team was the national winner in the event.
- Developed a 3D printed can-sized satellite that was landed using a descent control system including a parachute.
- Designed and developed a system which could take various atmospheric data like temperature, pressure, altitude, GPS, and video and send it all to a ground station in real-time.
Annual Robotics Competition
- Participated in the national-level Robotics competition contested by more than 80 teams across the country.
- Involved in the design and development of two Robots capable of playing a doubles badminton match.
University at Buffalo
- Learned basics of computer vision and applied image processing techniques on MATLAB.
Deeplearning.ai
- Completed projects on machine learning applications including object detection, image recognition and facial detection.
Georgia Institute of technology
- Project on development of a virtual obstacle avoidance system in automobiles, based in MATLAB.
- Won outstanding achievement award at company for study on plastic fenders in automobiles.
- Winner of University CanSat Challenge 2015-16.
- Runner up in the Robowars event at University Technical Fest-2015.
- Recipient of 1st prize in the Mathematics Olympiad at my school.