Stanley Godad

Embedded Developer

adj051@r.postjobfree.com

865-***-****

***,****** *****, **** ****** marg,, jacob

circle, Mumbai, India

linkedin.com/in/stanley-godad-a13410141

Experienced Embedded developer with an aim to play an active part of a value driven organization, to demonstrate my analytical thinking, team building and leadership skills along with my programming logics. WORK EXPERIENCE

Embedded Developer

Nevon Solutions

07/2018 - 11/2020,

Designing, developing, coding, testing and debugging of embedded projects .

Working on sensors based on technologies like GSM, GPS, NODEMCU, Bluetooth, RFID, Zigbee,

Accelerometer, ultrasonic sensor, PIR and also DC

motors and servo motors.

Image Processing using OpenCV.

Working on python libraries like NumPy, Matplotlib, OpenCV, PyTesseract.

GUI Design using Tkinter.

Well versed with Linux commands.

Design, develop, and code projects based on

atmega328p and raspberry pi 3 B+.

Working on IOT based projects.

PCB designing using proteus and troubleshooting of different electronic circuits.

IOT Developer

LivePages Infotech Private Limited

11/2020 - Present,

Working on UHF RFID readers.

Integrating different IOT based Biometric Devices.

Delivering a technically strong demo for client.

EDUCATION

Diploma - Embedded Sytems and Design

Bicard, Pune.

2017 - 2018,

B. E. - Electronic and Telecommunication

Engineering

University Of Mumbai

2014 - 2017, 6.67 CGPI

Diploma - Electronic and

Telecommunication Engineering

Institution/Place of Education

2011 - 2014, 66 %

SKILLS

C python Embedded C esp8266

Raspberry pi Arduino Coordination

Effective Communication Time Delivery

PROJECTS

IOT based Smart Door Receptionist with Smart Lock

System

The purpose of this system is to control the door lock using IOT gecko and Raspberry Pi. In this system whenever a person rings the bell, image of the person is captured and sent over internet and .then we can remotely access the the Door.

Drunk and drive with GSM alert and ignition lock.

In this project we use alcohol sensor and GSM module with raspberry pi also we have interfaced DC motor in order to demonstrate a vehicle.

Face Recognition Using Raspberry Pi.

This project was done using “Open Source Computer Vision Library” (OpenCV). To create this project we worked on three distinct phases namely Face detection and data gathering, train the recognizer and face recognition.

LANGUAGES

English

Full Professional Proficiency

Konkani

Full Professional Proficiency

Hindi

Full Professional Proficiency

Marathi

Full Professional Proficiency

INTERESTS

Cricket Football Chess

Technology based Tasks

Achievements/Tasks

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