Electrical Engineering

Aishwarya Nagarkar

Chicago, IL, USA +1-312-***-**** ************@*****.*** https://www.linkedin.com/in/aishwarya-nagarkar

SUMMARY:

Outstanding graduate student of Electrical and Computer Engineering department with near to two years of professional experience in Computer Vision Development in MATLAB and product design domain. Excelled in the courses like Image Analysis and Computer Vision, Neural Networks, Digital Electronics, Robotics, Computer Architecture, Embedded and DSP, which improved technical skills. Actively seeking a challenging opportunity for a Full-Time job in the field of Designing and Computer Vision Engineering.

EDUCATION:

University of Illinois at Chicago August 2017 – Present

Master of Science at Electrical and Computer Engineering department GPA: 3.66

Savitribai Phule Pune University, India at CCOEW, Pune June 2013 - July 2017

Bachelor of Engineering (B.E.) [First Class with Distinction] in Electronics and Telecommunication GPA: 3.8

TECHNICAL SKILLS:

Programming Languages: C, C++, Embedded C, MATLAB-script and basics of Python.

Software Tools: MATLAB, Simulink, SimpleScalar, Altium, Orcad, VHDL, MPLAB IDE, Multisim, Microsoft Office, Eagle.

Hardware Tools: Digital Multimeter, Oscilloscope, Spectrum Analyzer, Function Generator, Logic Analyzer, IC based circuit building, Arduino and PIC development boards.

Functional Knowledge: Project Management practices.

PROFESSIONAL EXPERIENCE:

Computer Vision Developer, Vasundharaa Geo Technologies Pvt Ltd, Pune, India June 2018 – July 2018

Developed multi-spectral remote sensing data technique to find spectral signature of different objects such as vegetation cover, urban areas, water bodies in satellite imagery using NDVI technique via MATLAB.

Had an opportunity to work with software solutions for tracking, detection and recognition of features and learnt solutions for it.

Implemented change detection algorithm using segmentation technique which classified the features more effectively by 30%.

Learnt modelling and simulation of imaging systems to build Graphical User Interface and documented in a report.

Project Research Intern, Replete Business Solutions Pvt Ltd, Pune, India June 2016 – July 2017

Part of a team that developed hardware and software tools for Robotic Arm based on hand-controlled assist system using an electronic and mechanical arrangement controlled by Atmel Microcontroller.

Completed tasks like multi-layer PCB designing, circuit testing, Atmel microcontroller programming based on MISRA C Standards for ANSI C and circuit design, DC motor and camera interface with microcontroller.

Developed algorithms for optimization of BLDC motor drive and real time scanning of motion indicators and image inputs.

ACADEMIC PROJECTS:

Automated Optical Inspection of PCB February 2018 – May 2018

PCB inspection to verify that the characteristics of board manufacturing are in conformity with the design specifications.

Implemented feature extraction, feature matching and feature detection algorithms using SURF detection technique.

Using Image processing techniques, the examination process was fast, reliable and which further increased efficiency by 30%.

Differential Drive Mobile Robot March 2018 – May 2018

Developed robust software for integrating multiple sensor and tracking systems that delivered accurate visual odometry system.

Implementation of Bug 0, Bug 1 and Bug 2 Algorithms via Arduino on robot to configure the path from start to goal position.

Bug 2 Algorithm found to be more reliable as it reduced the processing time by 600ms.

Digit Classification using MNIST Database August 2018

Trained and tested a set of classifiers for pattern analysis in solving handwritten digit recognition problems using python.

Implemented an Multicategory PTA using elements of trained network that improved the performance of the system by 69%.

Analysis of Processor Performance September 2018 – December 2018

Executed a sample program on Simple Scalar by varying different processor parameters to see their performance impacts and find the optimal configuration.

Observed the performance impacts by calculating the CPI, IPC and total execution time values.

Varied the processor parameters like, execution type, L1/Data cache size and came up with the optimal processor configuration.

RESEARCH PUBLICATIONS:

Published a paper named ‘Gesture Controlled Robotic Arm’ in 3rd International Conference on Research Trends in Engineering, Applied Science and Management. Link: http://academicscience.co.in/admin/resources/project/paper/f201705291496044128.pdf

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