Full stack developer currently working on legacy and new trauma registry systems. Technologies used across both products include the .NET suite, JavaScript, TypeScript, CSS, Snowflake.

Awarded 2:1 (69%) with a Placement Year For my final year project I demonstrated High Performance Computing Concepts through Raspberry Pi clustering. It consisted of 2 x Pi 3B+, 8 x Zero W, 2 x ClusterHAT's. The system was built on Debian and used protocols such as bridged ethernet and SSH to communicate between the nodes. So all nodes would have access to the same files at run time, a Network File Share (NFS) was setup on an extneral drive and was exported to all nodes. This NFS acted a mini cloud for the cluster as all execution scripts were to be placed into it. To demonstrate the concepts of HPC, three overlays where installed: MPI, SLURM and Kubernetes (K3s). Each had their own reasonings for being installed and provided their own unique concept. A CERN style submission menu built on Python was presented to the user after they SSH into the system, allowing them to submit an array of jobs. A SQL database was then linked to the system, where a user could then login and submit their jobs. Using the menu they could then retrieve the job statistics, including execution time, nodes used, output etc. To monitor the system a webpage was created at boot time on each one of the Pi's was available by using any of their IP's, creating a highly available solution. The monitoring page contained information such as CPU % usage, RAM % Usage, tasks that were being carried out (integrated through HTOP). To test the cluster's MPI and SLURM functionality, a series of jobs were submitted such as Histogram Generation in R, Monte Carlo calcuation in C++ and Python (comparing language execution times). Seeing as the cluster were to deployed in an education setting, for the K3s test, I demonstrated the benefits of redundancy by deploying a Minecraft Server on 2 of the nodes. The player could be in the server and after simulating a node death, the player would not be removed due to the failover node.The files can be seen here - https://github.com/etdoh00

The Nigma Community is a series of developer career events for developers by developers to keep up to date with the latest trends, frameworks and insights in the Technology sector. I help set up these events and really enjoy working as part of the team as it's a great opportunity to gain new skills and learn about new technologies whilst networking.

My placement involved software engineering (Python) and also covered other essential software in such as Alteryx, Excel and Google Sheets.Responsibilities and Projects:Data science methods to enrich data,Data Analysis,Data Visualisation,Developing automation scripts to reduce working time, reduce error and decrease overall working time on the project,Switching manual physical entry data systems and worksheets to formula driven automatic workloads,Customer communications, automating the end of week email process which summarises the teams efforts, updating in the event of problems / changes / information needed. Creation of Alteryx workflows to parse data into a workable format, Creation of Python scripts to scrape large documents to collect valuable information.

In my role as a sales assistant I was tasked with coordinating and executing sales to hundreds of different customers weekly. The most important element of this task was doing so whilst providing the highest level of customer satisfaction and service. To get the perfect product whilst keeping the customer happy involved the process of understanding their needs, asking the correct questions whilst providing reassurance the whole way so there is no room for misunderstanding. This journey ensured that the customer left satisfied and confident in their purchase. Additionally, I have operated at the customer service desk, in this role customers would explain a fault with an item and I would be responsible for booking repairs and ensuring the customer is looked after