Tom Murray

The code for the Angular file for a status bar component. Typical input for the component is the current job that the app has open. Depending on the status of the job, this will update the status of the component, which in turn changes how far along the status bar is.

A simple trip editing app where you can create, edit, and delete different trips. It was my first app built using React/Redux.

I decided to build a game using the Ethereum blockchain protocol. The game I built was a battleship type of game, mainly due to its turn-based nature.

As the Ethereum blockchain mines the blocks every 14 seconds, a move could only be made once every 14 seconds. I built the front end of the app using Angular. The Truffle framework was used on the front end to interact with the blockchain.

I built a game using the Corona game engine. The game was written in Lua. It is a fast-paced game where you have to swipe to change the direction of the main character. I programmed the physics of the game myself.

For my master's thesis at Imperial College London, I had to build a neural rat that was able to learn the features of a rat's neural activity that mapped to its position in a square box.

It was a combination of an auto-encoder to learn the features and a recurrent net to map these features to the position. The result only had a 10% error when predicting the position.

I built a bot that performed an arbitrage on the EOS ICO. It was implemented using AWS Lambda.

Before each daily window closed, we checked the current money invested during that window. Using linear regression, we determined if we should invest in the ICO during that window. This involved creating, signing and sending a transaction to the EOS ICO smart contract. We then had another Lambda function that sent the EOS to bitfinex, where it was then sold for a profit. During the six months that the bot was in operation, my Ethereum balance increased 250%.

I worked as the tech lead at a startup called Repairly, which was a company that did on-demand tech repair.

I built most of the software, which included a customer-facing interface, an admin dashboard for the inhouse team, a dashboard for the repair centers and an app for the drivers. The components were hosted on Heroku and AWS.

This project consists of a retrieval-augmented generation (RAG)- based chatbot. A user can upload a document and chat with the bot about its details. It was built using LangChain and LanceDB as the vector store.