Engineer Assistant

SARAN KANAGARAJ

*** ****** ******, *****, ** +1-469-***-**** *************@*****.***

Summary

A passionate engineer with pragmatic leadership and out of the box thinking. I often put myself in the customer's journey of product and experiences to make positive change through innovation and technology. Skills Profile

Programming: Python, C, C++, Embedded C

Libraries: Numpy, Matplotlib, Scikit-learn, Seaborn, OpenCV, Pandas Topics: Deep learning, Machine learning, Computer vision, Data analytics, Statistical methods, Vehicle electrification OS: Ubuntu (Linux), Windows, ROS

Framework: TensorFlow, Keras, PyTorch

Design tools: Altium Designer, CATIA, Autoware, MatLab/Simulink IDE: Jupyter Notebook, MPLAB IDE, Arduino, Microsoft visual studio, PyCharm Database: MySQL

October 2019 - Present

August 2013 - April 2017

Education

Kettering University, Michigan

MS in Engineering management-Technical leadership

Anna University, Tamilnadu

Bachelor of Aeronautical Engineering

October 2019 - Present

JUNE 2017 - JUNE 2018

Work experience

Kettering University

Graduate Research Assistant

Designed a Hall converter circuit to decode the analog signals from motor to digital output for the Kelly controller Implemented a PLL (Phase Lock Loop) control algorithm in MPLab IDE to get the electrical angle Designed and fabricated a BMS (Battery Management System) hardware for electric vehicle applications. Used Altium designer software for designing and programming is completed in Arduino. Worked with perception team(IGVC) to improve object detection in autonomous vehicle Performed training and validation in custom developed deep learning model Implemented a real-time detection and classification of traffic signs based on YOLO version 3 algorithm Bass Enterprises

Operation Engineer

Worked closely with the product development team to check the designs whether developed are feasible for manufacturing. Experience with cross-functional teams in ongoing and new product devolopment Project

Face Recognition Attendance System

Developed a facial identification and tracking neural network using CNN

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