hi , i am
Karthikeyan
Suresh .

Aspiring Cloud Engineer

download resume

about me

I am an Erasmus Mundus scholarship holder in Green Networking and Cloud Computing (GENIAL). I am passionate about the intersection of sustainability and technology.

Pursuing my Master's degree has widened my knowledge and expertise in topics of Networking, Cloud Computing, Data Analytics, and the Internet of Things, to name a few. I hold a Bachelor's degree in Electrical Engineering & Computer Science from Kyushu University in Japan, where I was awarded the MEXT scholarship from the Japanese Government. This degree has equipped me with a solid foundation in various fields related to Electrical Engineering and Computer Science, as well as technical expertise, problem-solving skills, and a commitment to excellence.

email

karthikeyansuresh2018@gmail.com

phone

+33 78080 2668

Education

Sep. 2022 - Present

Masters in Green Networking & Cloud Computing

Erasmus Mundus Joint Masters Degree in GENIAL

France, United Kingdom, Sweden

Master's in Green Networking & Cloud Computing at various European universities.

Oct. 2018 - Sep. 2022

Bachelor of Electrical Engineering & Computer Science

Kyushu University

Fukuoka, Japan

Completed Bachelor's in Electrical Engineering & Computer Science with a CGPA of 3.77/4.00.

Mar. 2016 - Mar. 2018

Diploma in Science Stream

Indian Community School, Kuwait

Salmiyah, Kuwait

Completed High School Diploma in Science stream as the Kuwait topper with a score of 97.4%.

skills

Python
C++
Javascript
Git
html & css
Docker
communication
creativity

experience

  • Jul. 2023 – Aug. 2023

    Summer Internship & IT Support Specialist

    NBTC Group

    Al-Ahmadi, KW

    Observed in detail the working of the company and how the IT-related issues were managed. Gained a comprehensive understanding of the company’s IT network and systems, including the AWS cloud infrastructure and data center installations. Assisted with various tasks such as troubleshooting, formatting, and fixing PCs and conducted backups of old PCs and performed fresh operating system (OS) and software installations.

  • Apr. 2021 – Aug. 2022

    Undergraduate Research Assistant

    AI & Human Interaction Lab, Kyushu University

    Fukuoka, JP

    Proposed motif discovery in Temporal Convolutional Networks (TCNN) for improved classification. Used matrix profile to extract discords from periodic datasets and extracted patterns from them. Combined matrix profile and original features, along with attention mechanisms, resulting in an average 6% improvement across UCR Time Series datasets. Co-authored a paper in the ACPR 2024 Conference Manuscript. Second paper in the works.

    Apr. 2021 – Aug. 2022

    Undergraduate Research Assistant

portfolio

Measuring Energy Consumption of Applications

Measuring Energy Consumption of Applications

Created and implemented automated workflows using Power Automate for multiple browsers. Tested the workflows for efficiency in battery saver and normal modes. Utilized Joulemeter for precise measurements.

Novel Supply Chain Proposal for Lithium Battery Production

Novel Supply Chain Proposal for Lithium Battery Production

Researched rising lithium demand and addressed environmental concerns. Proposed strategies for sustainable extraction and optimized supply chains, contributing to UN SDGs 12 and 13.

AHP-based Decision-Making System for Ideal Environment Selection in Buildings

AHP-based Decision-Making System for Ideal Environment Selection in Buildings

Developed a room selection system based on user preferences and eight criteria for room comfort. Created an interactive 2D map displaying real-time data for each room.

Lightweight and Green Website Development for Hackathon

Green Website Development

Developed a green website with an interactive map displaying educational services. Implemented a basket functionality and secured third place in the Design4Green hackathon.

Matrix Profile-based Features with Neural Networks for Signal Classification

Matrix Profile-based Features with Neural Networks for Signal Classification

Incorporated motif discovery and matrix profile to enhance Temporal Convolutional Networks (TCNN) for improved classification. Achieved an average 6% improvement across various datasets.

Hangar Management and Aircraft Sales System

Hangar Management and Aircraft Sales System

Created a simple Hangar Management and Aircraft Sales System using C++. The system was capable of tracking orders and inventory, with separate account creation and logins for administrators and clients.

contact me

Karthikeyan Suresh

Masters Student at LTU

email

karthikeyansuresh2018@gmail.com

phone

+33 78080 2668