EDUCATION

SRI KRISHNA COLLEGE OF TECHNOLOGY

(***7 - 2021)

Bachelor's in Electronics and Communication

Engineering

-Average of 81.4% (8.14 CGPA)

AVB MATRICULATION HIGHER SECONDARY

SCHOOL ( 2016 - 2017)

HSC - Higher Secondary Certificate

-Average of 84.2%

AVB MATRICULATION HIGHER SECONDARY

SCHOOL (2014 - 2015)

SSLC- Secondary School Leaving Certificate

-Average of 92.4%

PERSONAL DETAILS

Phone: 875-***-****

E-mail: admrxs@r.postjobfree.com

linkedin.com/in/vigneshbr

AREAS OF INTEREST

Embedded Systems

Machine Learning

TECHNICAL SKILLS

PROGRAMMING LANGUAGES

Embedded C, MicroPython

SOFTWARE AND TOOLS

Autodesk Eagle, Google Colab, Kaggle,

MATLAB, TensorFlow, Google Cloud Platform

VIGNESH B R

B E E L E C T R O N I C S A N D C O M M U N I C A T I O N E N G I N E E R I N G

OBJECTIVE

A dynamic, team spirited and performance driven

electronic engineering student, seeking a position to utilize my skills and abilities that offer professional growth while being resourceful, innovative and

flexible.

" An enthusiastic engineer with strong interest in handling critical problem solving activities and technical troubleshooting "

EXPERIENCE

INDO TEXNOLOGY Pvt Ltd.

Completed Internship in Embedded Systems for a

duration of two months and certified Excellent for the Performance. During internship, I have completed a product classification system using CNN

(Convolutional Neural Network) algorithm.

(April 2019 - June 2019)

UNIQ TECHNOLOGIES

Completed three days Inplant Training in Embedded

Systems. During the training, I have worked on

various 32-bit ARM Based microcontroller's and

designing PCB's using Autodesk Eagle.

(14, May 2019 - 16, May 2019)

WORKSHOPS AND CONFERENCES

Attended five-day hands-on training workshop on "IBM Watson" in Kurukshetra 2019 held at Anna University. Attended three-day hands-on training workshop on "IoT Training using PSOC" in association with Cypress

Semiconductor held at NIT Trichy.

"Innovation and Entrepreneurship Development

Programme" a "3-day Boot-Camp" for TNSI-2019 at

Anna University Regional Campus.

Attended a one-day hands on training workshop on

"Internet of Things" association with Lansa Informatics held at PSG Institute of technology and Applied

Research.

Attended one day hands on training workshop on

"Arduino in Robotics" association with Lansa

Informatics held at Coimbatore Institute of Technology. Attended TEDxSKCT (1st Edition - Exploring

Ingenious) conference held at SKCT.

Attended TEDxSKCT (2nd Edition - Oblivion)

conference held at SKCT.

CERTIFICATIONS

Completed a 3-Credit course specialization certification on "Programming in Python for Data Sciences" at NIIT One World.

Completed a 2-Credit course certification on "Cloud Computing" in NPTEL.

Completed course specialization certification on

"Developing Applications with Google Cloud Platform" in Coursera.

Completed course in "Training YOLO v3 for Objects

Detection with Custom Data" in Udemy.

Completed course in "A Complete Guide on TensorFlow 2.0 using Keras API" in Udemy.

Completed course in "Become an Android Developer

from Scratch" in Udemy.

Completed course in "AI From Data Center to the Edge- An Optimized Path using Intel Architecture" in Intel AI Academy.

Completed course in "The Raspberry Pi Platform and Python Programming for the Raspberry Pi" in

Coursera.

Completed course in "PCAP: Programming Essentials in Python" in Cisco Networking Academy.

Completed course in "IT Academy: Software Defined

Storage Concepts" issued by VMware.

Completed course in "Deep Learning Onramp" in

MathWorks.

Completed course in "Machine Learning Onramp" in

MathWorks.

PROJECTS

Development of Autonomous Vehicle for Subsea Oil

Pipeline Inspection and Cleaning Oil Spills

(La Fondation Dassault Systemes- 2021)

To develop autonomous vehicle for oil pipeline inspection using deep learning technology with the help of computer vision.

Object detection YOLO-v4 based smart car system

with an integrated Virtual Assistant

(Final year project - 2021)

To develop a smart car system to reduce the serious social problem that often results in life loss, using the YOLO-v4 algorithm along with ultrasonic sensors integrated with the virtual assistant.

C-19 Lock for monitoring Covid Symptoms in an

Organization

Railway Crack Inspection Bot

Oil Spill Cleaner Bot

(India Innovation Challenge Design Contest- 2019)

Product Classification (GUI) using deep learning

(Intern- 2019)

The designed system could reduce human labour in

industry, with a real-time product classification system, which automatically detects products while they are on a conveyer belt and groups them with the help of a PLC

(Programmable Logic Controller).

Smart Virtual Assistant Bot Using Voice Control with Raspberry Pi

Smart Car Parking System

(IESA Makeathon- 2018)

(La Fondation Dassault Systemes- 2020)

A safety device that can monitor the Covid-19 symptoms. To ensure the social distancing among the employees and personnel's in an organization. Detect the major symptoms of COVID-19.

(L&T Techgium- 2019)

A small sized bot could detect rail surface damages in high-speed movement with the help of the CNN

(Convolutional Neural Network) algorithm implemented using Darknet (an open-source Neural Network

Framework).

Designed a bot that could collect the oil from the spills in oceans, lakes, etc. based on the adsorbents. The robots are navigated to the oil spill by the feed from the satellite. A smart robot with artificial intelligence (AI) system that can learn from its environment and its experience and build on its capabilities based on that knowledge.

Designed a system that could automate and reduce time spent manually searching for the optimal parking spot. PLACE : COIMBATORE

I hereby certify that the above information is true to the best of my knowledge. ACKNOWLEDGEMENT

SIGNATURE

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