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Resume
About Me

A 3rd year Electronics and Communications Engineering with Specialization in Internet of Things and Sensors student at Vellore Institute of Technology, Vellore. I am extremely passionate about all the interesting developments being made in the fields on IoT, Machine Learning, Deep learning and Full Stack Development.
I am ambitious and hardworking, often recognized for the commitment and the ability to handle multiple tasks on a daily basis, competently by working well under the pressure.

  • Name: Suryaa K S
  • Age: 21 Years
  • Job: Student
  • Citizenship: India
  • Residence: Vellore
  • E-mail: selvaraj.suryaa@gmail.com
Experience
01 Jan'19 - Present
Intern - Corporate Gurukul

Primary role will be supporting the product and delivery team in curriculum development, product presentations at institutes, candidate counselling, assessment and training.

12 Dec'18 - 01 Jan'2019
Academic Intern - STMI - National University of Singapore

Worked on Designing and Implementing Secure IoT Applications under the guidance of Prof. Anand Bhojan, Prof. Chan Mun Choon, Prof. Tan Wee Kek.

12 Dec'18 - 01 Jan'2019
Academic Intern - Hewlett Packard Enterprise

Worked on IoT network security under the guidance of Mr. Shatanu Pandey

Education
2016 - Present
Engineering Student - VIT Vellore

B.Tech Electronics and Communications Engineering with Specialization in Internet of Things and Sensors student.

CGPA - 8.92

2014 - 2016
AISSCE - Suguna PIP School

92.6%

2001 - 2014
AISSE - Suguna PIP School

CGPA - 9.8



Certifications
  • HTML, CSS and Js for Web Developers - Coursera

  • Cryptography - Coursera

  • Designing and Implementing Secure IoT Applications - NUS

  • Internet of Things - Hewlett Packard Enterprise
Achievements
  • University Merit List - 2019

  • International Rank 7 & Zonal Rank 2 in National Cyber Olympiad 2015.

  • Top 10 percentile of the district in International Junior Science Olympiad (IJSO) 2015
My Skills
  • C++
    85%
  • C
    80%
  • Java
    70%
  • Python
    85%
  • HTML & CSS
    90%
  • jQuery
    75%
  • Machine Learning
    70%
  • Deep Learning
    70%
My Services
Front-end

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Mobile Application

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Investigation

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Programming

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Awesome Supports

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Web Development

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