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Gangishetty, Aditya Email: adgx6o@r.postjobfree.com

Phone: 313-***-****

Summary:

Passionate and motivated masters graduate from University of Michigan with experience in ADAS, Electro mechanics, Systems Engineering, Vehicle Architecture, Vehicle Integration, Hardware, Testing, Vehicle Dynamics, Vehicle Stability, Control and Computer Vision.

Currently Working at Ford Motor Company as ADAS Vehicle Architecture and Integration Engineer.

Worked at ZF Group as ADAS Engineer to support GM (General Motors) application project for next generation ADAS Front Camera module.

Experienced Team Lead of a Baja SAE team with a history of working in the Vehicle design and Testing at BAJA SAE USA 2016 - 2017.

Excellent communication skills; verbal and written. Willingness to learn and grow professionally. Education:

Master’s in Automotive Systems Engineering (Cumulative GPA: 3.5/4.00), University of Michigan

(ABET Accredited), Dearborn, MI: Sep ‘18 – April 20

Bachelor’s in Automotive Engineering (Cumulative GPA: 3.9/4.00), Vellore Institute of Technology

(ABET Accredited), Vellore, India: Aug ‘14 - Jul ‘18 Skills:

Software: Vector Canoe, MATLAB-Simulink, Keil uVision, C, C++, Python, Optimum K, 20SIM, SolidWorks, AutoCAD, ANSYS.

Product Development Tools/Methods: Benchmarking, Interface Diagrams, Pugh chart, DFMEA, ISO26262, DVP&R, QFD. Microsoft Office Suite, DOORS, JIRA, SysML. Experience:

Ford Motor Company, Dearborn, Michigan: October’19- Present Vehicle Architecture Engineering– Advanced Driver Assistance Systems (Contract) Part of Flexible Architecture and Pre-Program Delivery team in ADAS VAE Responsibilities:

Supported Development and implementation of new ADAS feature strategies for various Vehicle Programs by analyzing Customer requirements from Customer clinics, Benchmarking Compotators and Vehicle program timings and Hardware compatibility.

Led the development of new quick win ADAS Level 2 feature experience improvements to current ADAS Hardware bundles (Sensor Hardware), collaborating with various feature and attribute owners to prioritize and structure the workflow maintaining Project planning and tracking

Supported Functional Safety team to document and ensure feature improvements/updates are compliant with functional and technical safety requirements per ISO-26262.

Developed Concept Diagram and Logical Level Use cases and Supported Feature Specification, integration Requirements and Technical Feasibility understanding for ADAS – Augmented reality Project collaborating with tire 1 Suppliers and internal stakeholders.

Conceptualized Cross-functional view of ADAS features by developing ADAS Feature to Vehicle Hardware matrix to implement Flexible architecture strategy such that maximum value is provided per hardware bundle across all Ford Motor Company vehicle programs. ZF Group, Farmington Hills, Michigan: May ‘19 – October’19 ADAS Engineer (Co-Op)

Responsibilities:

Supported GM (General Motors) in implementing a next generation ADAS Front Camera module (FCM) Aditya Gangishetty

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including features such as Lane Boundary Detection, Light Detection, Sign Detection, Object Detection, Ego motion Estimation, Traffic Light Detection, Visual land marks, Obstacle Detection, Lane departure warning and Urban Safety.

Developed software tools using CAPL script to function test ZF Camera modules for Concept Validation.

Supported the development of test cases and Performed validation tests to verify against requirements.

Supported Hardware debugging of the camera module by reviewing hardware schematics and PCB layouts.

Flashed software on camera’s controllers (Mobileye) and microns (Aurix)

Developed Training material for GM on site engineers to perform function tests.

Reviewed GM Vehicle Requirements and tuned various Calibration parameters to support vehicle testing.

Responsible for creating BOM and procurement of parts by coordinating various stakeholders like VA, VE, Purchasing Team and Hardware Department.

Automotive Research Association of India, Pune, India: Aug ‘17 Jul ‘18 Vehicle Dynamics and Control Research Intern.

Yaw rate controller to improve vehicle stability.

Derived and computed Yaw rate gain of a full car model and then simulated the vehicle response using MATLAB Simulink.

Performed Understeer and oversteer analysis by studying understeer coefficient and critical speed for varying operating speeds.

Designed a PID controller using root locus method to enhance stability of the vehicle. Development and Analysis of a 7 degree of freedom vehicle model in MATLAB/Simulink

A full vehicle model with 7 DOF (Lateral motion, longitudinal motion, yaw motion, and individual rotation of wheels) that can accommodate steering and braking action is modeled.

The developed vehicle model using non-linear Dugoff tire model is validated for various operating conditions. Analysis of normal forces and yaw angle is performed for - acceleration, deceleration, left turn and right turn conditions.

Team Jaabaz – BAJA SAE VIT, Vellore, India: Feb ‘15 Apr ‘17 Technical Head/Vehicle Dynamics Engineer

Developed Experience as a Vehicle Dynamic Engineer on understanding the criticality of Suspension and Steering Kinematics, Vehicle Dynamics, CAE, Systems integration, DFMEA, DVP&R and Vehicle Testing.

Developed test plans to validate the sustainability of custom-built parts & vehicle dynamic characteristics using SolidWorks, AutoCAD and ANSYS.

Reduced understeer gradient by 35% with the influence of camber gain, roll steer and rear passive steer using MATLAB.

Improved the recruitment and training process of the team along with mentoring the team to improve its performance from finishing 60th overall in 2015 to get a 10th place for Design event at Baja SAE Tennessee 2016 and 27th overall position in Baja SAE California 2017.

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