Driven by my passion for computers and mathematics, I exhibit a goal-driven work ethic that helps me complete tasks vigilantly and effectively. My current and previous employers can speak to my ability to learn quickly; in new positions, I quickly pick up on tendencies seen in exemplary employees which helps progress my proficiency in job-related activities. My experiences as both a front-end developer with QMIND AI and back-end developer with Distributive have helped me gain a solid understanding of the principles involved in end-to-end system design. I pride myself in my ability to both understand and implement design concepts that lead to holistic object classes, emergent behavior and painless debugging. Dealing with two different web frameworks, I honed my ability to self-motivate my learning and pick up new concepts through my simultaneous self-teaching of both NodeJS and ReactJS.As an individual, my ability to approach a problem from several different avenues in order to reach the best solution is the backbone behind my desire to design atomic systems. It is my belief that computer scientists should spend a significant proportion of their time planning their code when compared to time taken to implement it. For problem-solving, I am able to break down tasks well such that there is a good separation of concerns. This helps me make any problem, regardless of difficulty, manageable.Please reach out if you would like to connect.