Full stack Software Engineer ML Engineer UI/UX Designer
More About MeSoftware Engineer with a concentration in robotic engineering and Entrepreneurship & Innovation. Primary skills include software engineering, robotics, Machine learning, project management, business development. My goal is to be a polymath.
iOS/MacOS Developer skilled at technical leadership, communication and presentations. Experienced in Full stack project development
I'm a quick learner who loves working in teams As it allows me to utilise my leadership skills. I am also proficient in a wide range of programming languages
I love immersing myself at the intersection where emerging innovations meets business practicalities. My most favourite experience is in executing a project that combines my engineering knowledge and programming experience with entrepreneurial understanding; Finderr, which aims to give independence to people with visual disabilities. By providing a quick and easy way to find lost items around the house by leveraging the advances in Machine Learning, for sub centimetre object tracking in 3D Space, and SLAM for indoor navigation.
September 2021 - September 2022
The master focuses on Research in ML, AI and data mining
September 2017 - May 2020
September 2015 - June 2017
During my A-level i have studied product design, photography and physics.
February 2021 - May 2021
June 2020 - October 2020
June 2019 - September 2019
Nov 2018 - Present
The main goal of Finderr is to allow visually impared people to easily search for lost objects around their home. This dosen't mean you have to have a visual imparement to use it though. Finderr is designed to be used by everyone, people like you and me.
Mar 2019 - October 2019
Performance Augmentation Lab School of Engineering, Math, and Computing Mixed reality applications development
August 2018 - Sep 2018
Mar 2016 - Present
June 2015 - August 2015
July 2014 - June 2016
Hardware Designing and manufacturing 3D- printed parts for a consumer drones. Software Engineering for IOS/macOS/ WatchOS
November 2019
A fully automated malaria detection system powered by a small usb microscope and with a companion iPhone app that allows operators to easily keep track of the tests that they have administered it leverages a custom build neural network for image classification.
May 2019
The team created an app solution which uses Cognitive Services and Virtual Machines to help make finding lost objects accessible to everyone through their phones, including visually impaired individuals. Prize: USD15,000 and a spot in the 2019 World Championship
November 2018
My team and I won this prize out of 45 competing teams with the project finder. This is an app that can find lost items in the home. This is intended to simplify everyday life especially for people with visual impairments, illnesses such as Alzheimer's or older people
April 2018
Once a year Apple gives talented students the opportunity to receive a scholarship for their annual developer conference in California. Scholarship applicants must create an interactive Swift playground which is then judged together with an essay, in a global competition.
December 2017
Esri gave out a $5000 cash prize for the best use of Esri technologies. My team and I have won this price, with Augmentify, an augmented reality city guide application for iOS we made use of the Esri APIs as well as Apple's ARkit.
November 2017
Qualcomm gave out the IoT price at Oxford Hack 2017. My team and I have won this price, with the project, Personify which is an AI therapist powered by Alexa and Qualcomm Dragon board, for image capture and emotional analytics using a neural net.
April 2017
At MLH Prime Europe, my team and I won the first prize with a project, Automated Search System, which is in AI drone search and rescue solution. Our project aimed at automating the entire process of search and rescue. We used DJI drones and machine learning to analyze a live video feed, to Detect victims and tag their location in real-time.
August 2016
At Incubate X London, my team and I developed an intelligent fitness and health tracking application. Some of the leading features include noise exposure tracking which would send a notification to the user if dB levels with go over a predetermined threshold. Another highlight was UV exposure tracking this feature would alert the user to unsafe exposure levels.
This is a small overview about the projects I have completed for clients Or duringIntense 24 hour hackathons and Some projects I just made for the fun of creating!
If you have any questions or inquiries, leave me a message here. I will gladly answer them for you! I usually respond within the day