RAKSHIT BHANSALI

(M) 704-***-**** EMAIL: ac38wv@r.postjobfree.com LinkedIn ID: https://www.linkedin.com/in/rakshitbhansali E D U C A T I O N A L B A C K G R O U N D

MASTER OF SCIENCE IN MECHANICAL ENGINEERING, GPA 4.0 December 2017 University of North Carolina at Charlotte, Charlotte, USA Relevant Coursework: Mechatronics and Instrumentation Non-linear Controls Machine Learning Precision Machine Design Robotics BACHELORS IN MECHANICAL ENGINEERING, GPA 3.8 July 2014 Visvesvaraya Technological University, Bangalore, India Relevant Coursework: Dynamics of Systems Controls Engineering Introduction to Robotics Automation in Manufacturing FEA R E L E V A N T P R O F E S S I O N A L E X P E R I E N C E GRADUATE TEACHING ASSISTANT

Instrumentation Lab, UNC Charlotte, Charlotte, USA Jan 2017-Dec 2017

• Trained students to build electronic circuits using accelerometers, IMUs, temperature sensors, etc. and assisted them with the use of oscilloscopes, signal generators, power amplifiers.

• Demonstrated the use and interfacing of data acquisition devices with analysis softwares like LabVIEW, MATLAB, etc.

• Provided guidance and advice to students on educational matters and assisted professors on the development of the course syllabus. MANUFACTURING ENGINEER

Sansera Engineering Private Limited, Bangalore, India Nov 2014-May 2015

• Accomplished process automation in assembly lines dedicated for the manufacturing of commercial automotive engine parts.

• Designed process charts and control plans for the mass production and perform cycle time analysis to identify bottlenecks.

• Created a search database to retrieve 3D drawings, process diagrams and GD&T tolerance specifications using macros on MS Excel.

• Created technical reports following ISO 9001 standards and updated daily requirement schedules on SAP-ERP database.

• Performed FMEA analysis to identify possible failures and implemented Kaizens to improve production on VMCs. PROJECT ASSISTANT

CSIR-National Aerospace Laboratories, Bangalore, India Jan 2014-May 2014

• Performed computational analysis on active and passive vibration control of aircraft beams using software tools such as HYPERMESH, ANSYS and MATLAB.

• Created 3D models of aircraft wings on CATIA V5 and performed FEA simulations using ANSYS.

• Conducted experiments testing the electromechanical behavior of piezoelectric materials and performed GVT and wind-tunnel tests. T E C H N I C A L P R O F I C I E N C I E S

Languages - C, C++, Python, MATLAB & Simulink, Octave GNU Softwares - LabVIEW, ANSYS Workbench, SolidWorks, Allen Bradley PLC, Creo, Mathematica, Solid Edge, CATIA V5, Altium, Fritzing, CADEM CNC Programming, MS Office, AutoCAD

Embedded Controllers and Computers - Raspberry Pi, Arduino Uno, Arduino Mega, NI MyRIO, Particle Photon, Adafruit Trinket A C A D E M I C P R O J E C T S

Self-propelling robotic hydrofoil arrays: Mechanics, Efficiency and Optimization (Masters Thesis) This aim of this project was to investigate the swimming performance of multiple robots to study cooperative behavior.

• Designed robotic setups with combination of motors, sensors and microprocessors and performed tests employing real-time radio communication using serial communication.

• Accomplished motion tracking using GPS and IMU, integrated Kalman filters and performed image processing using MATLAB libraries.

• Performed motion planning analysis using geometric mechanics and applied reinforcement learning techniques to intelligently identify navigational sequences thus maximizing thrust and efficiency. Design of an Adaptive Cruise Control System Using Model-Predictive Control This project derived the design of a cruise control system using model predictive control using a realistic non-linear vehicle model.

• Formulated an MPC algorithm that calculates the desired acceleration and deceleration values to the throttle for the ongoing traffic scenario and implemented a PI controller ensures the exactness of these values.

• Applied LQR control technique to minimize the cost function in real-time for each time-step. Piezo-electrically Driven Precision Slide-way System This project involved the design and manufacturing of a novel piezo-electrically driven, mesoscale (palm sized) slide-way system.

• Designed a linear motion table that was driven with an inertial (i.e. stick-slip) drive mechanism and employed a steel-on-steel type bearing system with piezoelectric actuators and manufactured it on a Haas CNC machine.

• Implemented a Proportional-Integral Control strategy and enabled it using LabVIEW and an FPGA embedded system (MyRIO controller) to achieve desired displacements in the nanometer level resolution.

Contact this candidate