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Embedded Systems, Firmware Engineer, Hardware Engineer, Internship

San Jose, CA
March 19, 2020

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E-mail: LinkedIn: Apt #329,1314 The Almeda Contact: +1-669-***-**** San Jose- 95126


Pursuing master’s in electrical engineering from San Jose State University with strong academic background in Embedded Firmware/ Hardware design and computer system architecture. Seeking summer 2020 internship in the field of Embedded Systems and its design. Good at problem-solving, presentation and communication skills. ACADEMIC QUALIFICATION

Master of Science in Electrical Engineering, San Jose State University, San Jose, CA May 2021 Bachelor of Engineering in Electronics, Mumbai University Dec 2016 Relevant Coursework: Microprocessor and Microcontrollers, Advanced Computer Architecture, Digital Signal Processing, Verilog, FPGA, Embedded SoC Design, Machine Learning, Parallel Processors, CPU/GPU Architectures, PWM on Raspberry Pi 4, RISC- V(IGLOO2)


Larsen & Toubro Infotech, Mumbai March 2017 – May 2019 Production Support Engineer

Created JILs to schedule/automate running of the scripts created on Windows/Linux, ensuring prompt operation

Stage production support to the CBS channel by managing its subsidiary, Simon & Schuster in a team of 7 members

Enhanced business by Windows Batch Scripting and automated same using Automation tool, CA Workload Automation

Experienced Scheduler and Administrator in CA workload automation, granted privileged access to users

Offered weekly analytical report of job failures and success trends, advice on improving success trend rate by better scripts TECHNICAL SKILLS AND CERTIFICATION

Programming Languages: C, Embedded C, Python, Batch scripting

PCB Designing Tool: Keil, Kicad, LTspice

Completed a certificate course in Embedded C language from Technophillia International Training Course in 2014

Finished a certificate for Robotics Level 2 in Robotics from Pillai College of Engineering in 2012 ACADEMIC PROJECT

EMG Gesture Recognition System with Flexible High-Density Sensors August 2019 – December 2019 Technology: MATLAB, Machine Learning, Neural Network o Design an end-to end, high-density, wireless EMG gesture recognition system featuring a compact wearable device; facilitate real-time flexibility to communicate with human-computer interfaces o Incorporated multiple features to HD computing and improved robustness of classification; attempt to increase the accuracy o Efficiently analysed different filtering processes and Fourier transforms methods; successfully implemented DWT on EMG signal

o Successfully achieved 96% accuracy by using DWT method on the EMG signal

Gesture Based Wireless Virtual Mouse Controller August 2015 – April 2016 Hardware tools: ADXL335 accelerometer, Bluetooth module HC-05, ATmega16L o Implemented a prototype, this could guide a computer/laptop cursor using hand gestures o Built a wearable mouse which could detect hand position and accordingly shift left and right

Project on Heart Rate Monitoring Using IR Sensor January 2015 – May 2015 Technology: AT89C51 microcontroller with IR sensor LTH1550-01 to detect pulse o Aimed at designing a system which could help human measure their heart rate at home leading to good health tracker o Prepared report of the output along with the accuracy, explicitly mentioned all the case work

Project on PCB design for Hyperion Racing August 2014– February 2015 Technology: KiCad (open source)

o Developed as a PCB designs in Hyperion Racing Team which was organized by FS1 racing in 2014. Mainly designed PCBs for different electronic modules, these modules enhanced the overall performance of car ACHIEVEMENT

Effectively demonstrated great technical and problem-solving skills through the creation of Automation scripts. Strengthen customer relations by proactive response and excellent analytical skills. This helped me fetch SPOT award given by LTI and CBS at Mumbai in December 2017.

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