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Hello there 👋

Welcome to my GitHub profile! I am a highly skilled professional with two Master's degrees in Mechanical Engineering and Computer Science. With over 5 years of experience in the automotive industry, I am currently working as a Software Delivery Lead Engineer at Jaguar Land Rover. In this role, I have contributed to various projects and have a strong understanding of the software development lifecycle.

Alongside my day job, I am also a Digital Transformation Consultant with a passion for helping businesses leverage technology to improve their operations and drive growth. My expertise in both mechanical engineering and computer science allows me to take a holistic approach to digital transformation, understanding both the technical and operational aspects of a business. I have worked with various clients across different industries, helping them to streamline their processes, optimize their systems, and adopt new technologies to achieve their goals. If you are looking for a consultant who can help your business transform and thrive in the digital age, please don’t hesitate to get in touch!

Here's how you can get in touch with me:

Keane Fernandes's Projects

c-bookcase icon c-bookcase

A program that implements a breadth-first search (BFS) algorithm to sort an unsorted bookcase.

c-forest icon c-forest

A simulation of a forest fire, implemented using a 3-D array.

c-turtle icon c-turtle

A C implementation of the LOGO programming language with an ARM Assembly extension.

fullstack-open icon fullstack-open

My journey through the full stack open course provided by the University of Helsinki.

java-db icon java-db

An RDBMS clone that accepts common SQL commands, built up from scratch in Java.

java-oxo icon java-oxo

A java implementation of noughts and crosses, with a customisable board size ranging from 3x3 upto 9x9.

java-stag icon java-stag

A simple text adventure game (STAG) that accepts JSON and DOT setup files.

python-pol-ml-cybersecurity icon python-pol-ml-cybersecurity

A network monitoring system based on the pattern of life framework to detect early onset of DoS attacks on in vehicle networks.

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