Mechanical Engineer Engineering

Rohan Kulkarni

Chicago, IL • ****************@*****.*** • 312-***-**** • linkedin.com/in/rohankulkarni988/

EDUCATION

University of Illinois at Chicago Chicago, IL

Master of Science, Mechanical Engineering 3.5/4.0 May 2020

University of Pune Pune, India

Bachelor of Mechanical Engineering 4.0/4.0 (First Class with Distinction) Jun. 2017

EXPERIENCE

Honeywell Dayton, Ohio

Mechanical Engineer Sep. 2020 – Present

●Implemented robotic process automation in SAP variant configuration product models using algorithms to abolish manual data entry, optimizing process

●Participated in all testing and validation phases and activities to ensure required product data replication in configurable products, reducing errors by ~20%

●Collaborated with technical team for system improvements and testing of integration mappings between different applications, improving cross-functional interaction

North Shore Orthopedics – UIC Chicago, IL

Mechatronics Engineer Feb. 2019 – Sep. 2020

●Designed electro-mechanical systems consisting of sensors, micro-controllers, motors, and automated test benches capable of imparting 1000 N force and run up to 5000-8000 cycles, enhancing testing capacity of the prototypes by 40%

●Implemented precise position and velocity control on servo motors using softwares like LabVIEW, MATLAB and Simulink, imparting stresses on implants.

●Conducted data acquisition and instrumentation of sensors like load cells, strain gages, and LVDT using National Instruments’ DAQ system, improving the understanding of implant behavior

●Designed test fixtures and customized testing machines to test wide variety of implant materials and implant designs.

●Modelled and analyzed 3D printed implants in Solidworks and Ansys, validating functionality of test rigs.

●Replaced PCB boards with micro-controllers to operate different systems, reducing cost by 30%

●Collaborated with team of 4 to create high-precision displacement measuring system using LVDT sensor to measure minute deformations in implants, reducing system cost from $1200 to $250

ACADEMIC PROJECTS

Inverted Pendulum

●Designed embedded system to stabilize a nonlinear inverted pendulum and applied adaptive control techniques like LQR, Kalman filter, SSM and parameter estimation to enhance motor’s response

Electric Vehicle

●Designed and manufactured electric vehicle by developing new ERS technique to harness energy during braking process, mitigating power loss

Close Loop DC motor Control

●Implemented PID control on PWM output DC motor using Arduino and simulated real time mass-spring hardware-in-the-loop system, enhancing position and velocity control

360 Birds Eye View

●Constructed 360-degree real-time vision monitoring system and provided surrounding view by stitching images from 4 cameras and processing them using Python and MATLAB to enhance peripheral view

Lane Detection

●Led team of 4 to build vision based ADAS using OpenCV and Neural Network to recognize vehicles, road signs, and traffic lanes with 90+% accuracy

Hardware Testing

●Simulated real time mass-spring hardware-in-the-loop system by applying PID feedback control, optimizing testing process.

SKILLS & PUBLICATIONS

Core Competencies: Robot Process Automation (RPA), PID Tuning, Feedback Control, Discretization, Signal Processing, State Estimation, Non-Linear Systems, State Space Model (SSM), Advanced Driver-Assistance Systems (ADAS), Data Acquisition (DAQ), Adaptive Control, Energy Harnessing (ERS), PLC Programming, Implant Durability & Reliability Testing

Technical Skills: C, C++, Python, MATLAB, Simulink, LabVIEW, RSLogix 500 Arduino, Raspberry Pi, Eagle CAD, Hyper Mesh, CATIA V5, SolidWorks, Ansys, OpenCV and Neural Network

Certification: CATIA V5 Designer Specialist (Aug. 2017), Certified Hyper Mesh Analyst (Sep. 2017)

Publications: Biomechanical Consequences of Progressive Full Thickness Focal Chondral Defect

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