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Hi there 👋, I am John Kwame Dunyo! 😁 💻

I am fullstack developer able to build a Web presence from the ground up - from concept, navigation, layout and programming to UX and SEO. Skilled at writing well-designed, testable and efficient code using current best practices in Web development. I am a fast learner, hard worker and team player who is proficient in an array of scripting languages.

I am also a reasearch engineer😄🔭. My primary research interests include;
Computer Vision 📹, Machine Learning 🖥️, Big Data Analytics 📊, Embedded Systems 🪫, Robotics 🤖 and Internet of Things (IoT) 🌐

I am very interested in working at the intersection of Systems and Artificial Intelligence (AI) / Machine Learning (ML) to build the next generation intelligent computer systems that would allow us to fully harness the power of AI/ML to solve problems.

🔨Languages and Tools

JavaScript   Python  

HTML5   CSS3   jQuery   Bootstrap   MySQL   Git   GitHub   LATEX  



🔗  Connect with me

johnkdunyo-twitter johnkdunyo-linkedin johnkdunyo-linkedin

John Kwame Dunyo's Projects

graduate-admissions icon graduate-admissions

Repository containing SoPs and other reference material for Graduate admission process.

laragigs icon laragigs

A laravel web application for posting laravel related gigs

matlab-online-examination-application icon matlab-online-examination-application

An online examination application written purely in matlab. It generates random multiple choice questions based on the number of students in a class. The application provides a marked report of the exam.

microprocessor-design icon microprocessor-design

An implementation of a 16 bit microprocessor based on the RISC architecture in Logisim. Work is solely for academic purposes.

myportfolio icon myportfolio

A personal website to showcase my works, interests and motivation

piano-pads icon piano-pads

An interesting, addictive and educational piano pads game. Just select your favourite music and press the pads on which the ball falls to continously play your music.

plmpapers icon plmpapers

Must-read Papers on pre-trained language models.

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