Engineer Engineering

AMOL VAGAD

https://www.linkedin.com/in/amol-vagad-637b91aa/ 612-***-**** *********@*****.*** 2472 LAKESHORE BLVD APT 969, YPSILANTI MI – 48198

Summary:

Passionate Robotics Engineer currently developing Behavior and Situational Analysis algorithms with Safety Critical software for Autonomous Driving.

Employment:

Visteon Corporation, VanBuren Township, MI July 2018- Present Situational Analysis and Planning for ADAS

● Currently developing Pedestrian tracking using Extended Kalman Filter (EKF).

● Implemented Novel Freespace calculation for Automatic Emergency Braking and Evasive steering.

● Designed algorithms for situational analysis of Active Safety features using C, C++ and ROS1/2.

● Developed MISRA Compliant C- Code following safety critical coding standards with cross compilation for Linux x86, ARM 64 and QNX.

● Created UML diagrams and performed Unit tests using GTest and Vector Cast.

● Developed Finite State Machine (FSM) for situational analysis of LDW and LKA Features.

● Simulated test scenarios on VIRES-VTD simulation tool and performed HiL/SiL tests by flashing target.

● Participated in integration and functional validation of algorithms on the Test Vehicles.

● Briefly managed Feature Ownership for Active Safety feature(Lane Keeping Assist).

● Created Stakeholder and Software requirements for Active Safety features following ASPICE. VSI Labs, St.Louis Park MN. May 2017- April 2018

Software Engineer Intern for Autonomous Vehicles

● Developed Level 2 Autonomous Vehicle as part of summer internship project.

● Designed PID based control algorithms for Lane keeping and Adaptive Cruise Control(ACC)

● Used simulation tools like Siemens Prescan and Simulink.

● Implemented Perception algorithms using sensor fusion of Texas Instrument’s millimeter wave Radar, GMSL camera and NVIDIA’s Drive PX2 on by-wire controlled KIA Soul 2017.

● Designed localization algorithms using Honeywell IMU, Velodyne LIDAR and HERE HD maps. Skills

● Programming languages: C, C++, CUDA C, Python,and MATLAB.

● Simulation Tools and Libraries: ROS1, ROS2, Gazebo, OpenCV, Caffe, Tensor Flow, Simulink, Prescan, Arduino IDE, VIRES-VTD.

● Operating Systems: Ubuntu,QNX, Windows, MacOS and Debian.

● Version Control & Documentation: IBM Jazz, DOORS NG, Github, MS Office and Latex.

● Artificial Intelligence / ML : Certifications in Deep Learning Specialization and Reinforcement Learning specialization from Coursera.

Education:

Master of Science (MS) University of Minnesota Twin Cities, MN Sep 2016- June 2018

● Major: Electrical & Electronics Engineering Minor: Computer Science GPA: 3.7/4.0

● Related Coursework: Robotics, Machine Learning, Computer Vision, Parallel Programming, Modern Control Theory, Estimation and Filtering, Non-Linear Optimization and Robot Vision. Bachelor of Engineering (BE) University of Mumbai, Mumbai, India. Aug 2012- May 2016

● Major: Instrumentation Engineering GPA: 8.42/10.0

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