Jerrin J Djugash

***** * ******** ****, ********* 95014

+1-408-***-****

addjuh@r.postjobfree.com

US Permanent Resident

EDUCATION

San Jose State University

MS in Electrical Engineering

May 2019 GPA:3.3

Anna University

BE in Electronics and Communication

May 2012 GPA:3.5

First class with Distinction

KEY COURSES

Graduate

Digital Logic Design

Machine Learning

Data Mining

Neural Networks

Advanced Computer Architecture

Semiconductor devices

Embedded Hardware Design

UnderGraduate

Digital logic design

Microprocessor

Computer Architecture

Image Processing

Digital Signal Processing

SKILLS

Languages: C, Embedded C

Software Packages: Matlab Simulink,

Rational Test RealTime

Communication Protocols: I2C, SPI, USB,

CAN, UART

CERTIFICATIONS

Matlab by Mathworks, India

Embedded and Iot devices from Coursera

Python from Coursera

PROFESSIONAL EXPERIENCE

Firmware Intern

MATRIX Industries, Menlo Park, Sept 2019 – present

Working on IOT sensors using nRF9160 board.

Sending the sensor data to AWS cloud services for analysis.

Collecting the accelerometer traces from the power watch and computing the step error and distance error using Neural Networks algorithm. Embedded Software Engineer

Renault Nissan Technology and Business Center, India, Aug 2012 - Oct 2015

Transformed specifications written in MATLAB/ Simulink models into C- code following a robust coding standard MISRA.

Simulated the Matlab models with the associated tools for design verification and virtualization.

Developed integration test plan and test cases manually and using tools.

Tested auto and manually generated code in simulated real-time environments.

Wrote test cases to validate the design Develop component test benches and diagnostics software.

Created the Integrated Project Management Protocol (IPMP) for the entire Embedded systems department.

Compiled data for and presented the monthly dashboard with full-cost ratio, Workforce-workload, attrition/retention numbers, Project LIV cycle, department KPI performance and training details.

Mentored graduate engineering and trainees during training period. MAJOR PROJECTS

Developed a regularized Ensemble of Classifiers for gas sensors using the Machine learning algorithm in python. The regularization is applied to the weighted ensemble of classifiers to overcome the time-dependent drift occurring in the sensors.

Performed ADC Calibration and data Validation using Raspberry pi 3 interfaced with 16-bit ADC (ADS1115), stepper motor and motion sensor (MPU6050) which can be used for the self-driving cars.

Designed an affordable low-cost intelligent algorithm combining gabor wavelets and Linear Regression Classifier to spot occluded criminals and terrorists

Participated in the human factors research at NASA Ames working with the space station habitat system. The study involved learning and applying methods for supervisory control of automation needed in the future NASA missions.

Designed and implemented the circuit that controls elevator system using Xilinx fpga. The hardware used in the project is Digilent Nexys4 board. LINKS

https://www.linkedin.com/in/jerrin-mohan-54901226/

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