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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

a-simple-lightweight-ide icon a-simple-lightweight-ide

A multipurpose simple and lightweight integrated Development Environment (IDE) written in c# which has features of checking unbalanced parenthesis in a code, automatic word completion etc. it has a friendly user interface coupled with features of word and character counts. It has an error log that logs all errors in the code. Give it a try, you'll like it!!!

advice icon advice

A repository of links with advice related to grad school applications, research, phd etc

amazon-clone icon amazon-clone

just a amazon clone implemented in reactjs and firebase

book-list-app icon book-list-app

Simple web book app that stores book list in a local storage

dexter-pybot icon dexter-pybot

Dexter is a customizable intelligent chatbot that works using deep learning techiques to respond to user inputs. Just load your custom dataset and Dexter will be your new personal assistant

edge-detectors-research icon edge-detectors-research

This is a research project that performs a comparative study of common edge detection operators in image processing using mean squared error (SNR), peak signal to noise ratio (PSNR), and Execution time (Et). It is carried out in MATLAB

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