Max Thapa

Max Thapa's work experience includes a range of roles in various companies. Max started their career as a Summer Intern for Outreach at The University of Manchester in 2017, where they introduced new ways to communicate specialist knowledge and created a VR-compatible front end for a particle simulation.

In 2018, they worked as a Festival Bar Manager at The Really Good Bar Company Ltd, where they managed bars and staff, organized workspaces, and developed key soft skills.

From 2016 to 2018, they held multiple roles at The Warehouse Project, including Festival Bar Manager, Staffing Manager, Supervisor, and Bartender. In these roles, they managed on-site solutions between bars and stakeholders, performed quality checks, and coordinated the sale of alcohol across large teams.

In 2019, Max worked on an independent project called "Using Reinforcement Learning to play Checkers." Max developed a Python program to model the state-space and transitions of checkers and designed a program for human and learning agents to navigate the state space.

In 2020, Max worked as a Software Development Volunteer at Medic Insight Glasgow, where they independently developed an efficient solution for optimizing student placements and learned to use the Google Maps API.

Also in 2020, they worked as a Graduate Intern at IN4.0 Group, receiving training in full-stack development, cloud engineering, and business strategy. Max also solidified their web development skills by building a dynamic web app on a Flask framework.

From 2020 to 2022, Max worked at Luminance. Max started as a Graduate Software Support Engineer, where they utilized artificial intelligence tools and supervised and unsupervised learning to organize and categorize documents for the legal profession. Max then became a DevOps Engineer, playing a leading role in scaling unsupervised learning features and improving database configurations. Finally, they worked as a Software Engineering Team Lead and Principal Delivery Engineer, coordinating the software development lifecycle, maximizing efficiency, and managing a team of delivery engineers.

Overall, Max Thapa has gained diverse experience in software development, project management, team leadership, and customer service throughout their career.

Max Thapa attended The University of Manchester from 2014 to 2018, where they pursued a Masters (MPhys Hons) in Physics with Theoretical Physics. In 2018, Max also enrolled in a course on Machine Learning offered by Stanford University via Coursera. Due to the provided information, it is not clear whether Max completed the Machine Learning course or obtained a degree in this field.