YOGESHWAR JADHAV
[ *****************@*****.*** Ó +1-585-***-**** R 712 -6, Park Point Drive, 14623, Rochester, New York
https://www.linkedin.com/in/yj1995/
SUMMARY
Electrical Engineering graduate passionate about Robotics, Embedded systems and Machine learning. Proficient in a range of modern technologies including Robotics Operating System, Motion planning, Controls, Signal analysis and CAD/CAM. Looking for full-time opportunity. Available from June 2020 EDUCATION
MS. in Electrical Engineering
(Robotics)
Rochester Institute Of Technology,
Rochester
August 2018 – May 2020
BE. in Electronics Engineering
Mumbai University
August 2013 – May 2017
SKILLS
Technical
MATLAB C Python C++
Software skills
ROS OpenCV OpenNI
LSD-SLAM Machine learning
Motion and Path planning
Design
AutoCAD Solidworks Fusion 360
Adobe illustrator
Other
MS Office Fanuc teach pendant
Collaborative robots Delta robots
Hand-on Experience with
basic robot design Robot integration
Arduino Raspberry pi
Differential drive robots Fanuc robots
ABB robots CNC Programming
EXPERIENCE
District Engineer
Oasys Cybernetics pvt. Ltd.
August 2017 – December 2017 Mumbai, India
Worked on e-PDS Government project for Maharashtra State Government.
PCB troubleshooting of an electronic circuit board mounted inside handy e-PDS machines.
Kept track and reported the technical issues in all machines. Home Automation Intern
Xpan Solution pvt. Ltd.
June 2017 – July 2017 Mumbai, India
Worked with home automation platforms and products of ELAN systems, RAKO (lighting control).
Configured lighting environment according to the client requirement. CERTIFICATE
RIT FANUC CERT HandlingTool
Operations and Programming - CERT
Level 1
May 2019 RIT, Rochester
TECHNICAL PAPER
Design of Quadcopter for
surveillance and Environment
monitoring
Presented in KShankar NSPC by IEEE India
April 2017 Mumbai, India
PROJECTS
LSD-SLAM using drone for autonomous navigation of
4-wheel drive robot
On-going Graduate paper RIT, Rochester
3-D Mapping of surrounding environment with a drone using LSD-SLAM.
Using the map, autonomously navigating the 4-wheel drive robot with obstacle avoidance.
Technologies : ROS Indigo, Monocular Camera Drone, 4-wheel drive robot with motor encoders, Ultrasonic sensing, LSD-SLAM, move base algorithm. Real-Time Device Recognition using EM footprints
August 2019 – December 2019 RIT, Rochester
Designed a wristband, which is an IoT solution to identify the electronic devices around us by classifying their EM waves.
Got 85 percent offline classification accuracy using SVM, KNN and Linear classifiers.
Technologies : Adobe Illustrator, Fusion 360, Photon, Arduino, MATLAB, Machine learning, node.js.
Snake Arm Robot
January 2019 – May 2019 RIT, Rochester
Designed flexible arm robot and simulated it using ROS Gazebo and rviz.
Implemented path planning algorithm with an open-source motion planning software (MoveIt).
Technologies: Solidworks 2019, ROS Kinetic, linux, MoveIt packages. EOG controlled differential drive with 3 classification models
January 2019 - May 2019 RIT, Rochester
Collected EOG signals using BioRadio 150 device, for 6 classes of eye muscle movement.
Used wavelet denoising for pre-processing the collected data signals and classified using SVM, KNN and Decision tree models.