about me
interests

AI Enthusiast
Just like everyone else, I am concerned about the future of the world with AI however, the benefits it holds within the society may help us to advance humankind.

Developer
I have a huge interest in developing applications, software and games. Designing and developing applications on Android helps me to improve my developing skills while creating games helps me to focus on my Object-Oriented Programming as I have to think ahead in time about the bugs that my code may create.

Sports
My other hobbies include sports where I play Badminton, Cricket and Video Games. These hobbies allow me to focus and follow a deterministic approach to solve problems.

Problem Solver
Solving problems is a known fact when it comes to Computer Science as it produces coding problems or algorithmic problems. These problems keep increasing as technology advances.
work process
BRAINSTORM
IDEA
DESIGN
DEVELOP
TEST
LAUNCH
fun fact
8 Countries Visited
0 Articles Published
58 Cups Of Coffee
11 Awards Won
resume
WORK HISTORY
Jan 2020 - Present
Software Engineer (Mobile Applications)
Bose Corporation, Framingham MA, USA
Developed and maintained a backend layered application that handles API calls and transports data to Bose consumer apps hence, making it easier to create mobile applications.
Used Appium to faciliate mobile testing by creating automation scripts with the required mobile capabilities.
Good experience in mobile testing using Appium in both iOS and Android applications using simulator and real device.
Performed Root Cause Analysis by isolating broken or deprecated APIs to determine if release is stable for consumers.
June 2019 - Aug 2019
Software Engineer Intern (DevOps)
Bose Corporation, Framingham MA, USA
Created a full-stack web application to display automated performance test results from soal testing on microservices.
Built and deployed a microservice to automate performance test report generation and reducing workload by 70%.
Deployed Docker containers to split monolithic app into microservices, increasing scalability and optimising speed.
Automated build and deployment using Jenkins to reduce human error and speed up production processes by 20%.
Sep 2016 - Sep 2017
AI Research Intern
Fujitsu Laboratories of Europe Ltd, Uxbridge, UK
Trained neural network to classify crystal formations from more than ~250k images, resulting in a 78% accuracy.
Developed RESTful web service using Raspberry Pi and ArUco marker for a smart cabinet system to detect and count stock in real-time and send data to datacenter, resulting in an accuracy of 83% using SqueezeNet.
Identified defects in wind turbine blades with an accuracy of 91.3% from ultrasound data using Machine Learning.
Performed KNN algorithm to achieve 86% reduction in workload from chip error detection.
EDUCATION
2019
MSc Computer Science
San Jose State University
I completed my Masters Degree at SJSU in the heart of the silicon valley. It was a new beginning in a different country with great experience in hot technologies.
2018
BSc (Hons) Computer Science with Professional Practice
Brunel University London
I completed my Bachelors Degree with a First-class honours (1st) in Computer Science. The university helped me draw out my potential in the field hence, I was able to find my passion which is Software Engineering and Game Development.
2013
A-Levels
Hatch End Sixth Form
I chose certain modules/subjects such as Mathematics and Further Mathematics in A-Levels to pursue Computer Science.
Download My Resume
View or download my current resume in PDF format.