EDUCATION

Gaurav S.

\ 206-***-**** ad2xtv@r.postjobfree.com Github/Gaurav Linkedin/Gaurav

University of Washington, Seattle, WA

Master of Science in Electrical Engineering Sep. 2023 – PRESENT GPA:3.72/4

Vellore Institute of Technology, Tamil Nadu, India Bachelor of Technology in Electronics and Communication Engineering July. 2019 – Aug. 2023 GPA: 8.40/10

SKILLS

Technical Proficiency-Programming in C, C++, MATLAB, R programming, Python, Java Script, Pytorch, System Verilog, bycrypt- nodejs Software’s known: ModelSim, Proteus, Cadence, Eagle, AutoCAD, PSpice, Origin, Multisim, Keil uVision. Jupyter Notebook, Quartus II INDUSTRY PROJECTS

TCN and Speech Enhancement Intern at Yuan Ze University., Taiwan

(Research Intern) June. 2022 – Sept.2022

Compared the models in terms of short-term objective intelligibility (STOI) and perceptual evaluation of speech quality

(PESQ) scores.

Intern at Arizona State University (SURI)., Remote

(Research Intern) April 2022 – July. 2022

Worked on Artificial Intelligence based self-driven car using CNN (Convolutional Neural Network), Monocular vision algorithm, Haar cascade classifier.

Airtel., Mumbai, India

(Data Science Intern) July. 2021 – Aug. 2021

Designed a project on ‘Understanding Hadoop Installation and Big Data Technologies’. Adapted to Handloom Installation with components namely Apache Flume, Apache Spark, and Apache Hive.

Contributed in creating a framework for accessing third parties and further performing onsite and remote assessments for them. Siemens., Mumbai, India

(Hardware Intern) May. 2021 – June. 2021

Worked on Cadice and Multisim for designing Integrated Circuits

Created a final Working Hardware Based Protocol for assessing the Cement Plant increase Spinning Rate. RESEARCH PUBLICATION

Enhancement of Speech Signals for Hearing Aid Devices Using Kalman Filter and Adaptive Filters Published in IJPREMS Volume 2, Issue 9, September 2022 June. 2022 –Aug. 2022

Built a speech enhancement Fast Adaptive Kalman filter that is more flexible for stationary noise.

Achieved coefficient factor to simplify matrix operations while simultaneously improving human aural characteristics. ACADEMIC PROJECTS

Shelf Digitization Sept 2023- Dec2023

Developed and implemented a ResNet20 V1-based product classifier that demonstrated a competitive accuracy of 83.26%, outperforming a pretrained ResNet50 model (69.91%). This accuracy is comparable to the baseline classifier (Support Vector Machine) at 85.90%, showcasing the effectiveness of the proposed approach.

Implemented a novel approach for identifying misplaced products by comparing predicted classes of neighboring products. Flappy Birds Implementation on a DE1SOC using Sytem Verilog Sept 2023-Dec2023

Implemented Flappy Birds project using a DE1SOC FPGA board with a 16*16 LED display programmed using System Verilog code and a 7-segment display.

Developed a top module DE1SOC using Counter, LFSR and Double synchronization for Pipe and Bird Modules Modelling and Simulation of Electric Vehicle Using Dynamic Charging (Final Year Project) Dec 2022-April 2023

Developed a Wireless power transfer systems with Dynamic Charging Using Simulink.

Achieved the SOC % graph in an EV showing the state of charge of the battery over time is 65%, allowing the driver to monitor the remaining range and plan for recharging accordingly. Fire Security System by using Convolution Neural Network Jan2022- Mar 2022

proposed model successfully detects the fire by using Inception model of the convolution neural network to detect the fire with an accuracy of 98 percent. This system can help to reduce the fire accident loss that happens due to the fire. Obstacle Avoidance Robot using LUA language Oct 2021-Dec2021

Constructed a simplified version of the most recent self-driving/autonomous vehicle technology. Simple obstacle avoidance and goal-to goal navigation are achieved at the basic levels using Lua language. POSITION OF RESPONSIBILITY

Technical Team Leader of IEEE CAS committee member

Project Team Leader of IEEE CAS for 6 months.

Speaker at the Full-stack development webinar organized by IEEE CAS.

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