Rinde van Lon

SaaS for scheduling appointments Developing a server-less REST backend that can calculate availability. Built a rust derive macro for generating DynamoDB (de)serialization code and for generating Dart and TypeScript classes from Rust structs. Built using Rust, Lambda, DynamoDB, and API Gateway. Developing an appointment scheduling frontend using TypeScript, Next.js, AWS Lambda@Edge, and AWS CloudFront. Developing an account manager frontend for customers to change their availability and manage their account. Built using Flutter (web), Dart, and AWS CloudFront. Building the company from the ground up.

Designed and developed a REST back end using Lambda, DynamoDB, API Gateway, and Java. Created an extensive test suite for the Java code and its interaction with DynamoDB. Created a system for scheduling appointments between customers and cleaners. The system allows customers to pick availability based on the services required and the availability of cleaners with the right skillset. Built a Shopify front end that interacts with our back end to let customers make appointments while using Shopify for payments and website hosting. Developed a front end for a human planner using React and JavaScript. The front end presents an overview of all appointments and allows the user to drag and drop appointments between dates and cleaners. Created a program that handles webhooks coming from Shopify, parses them, and performs applicable actions on the back end.

Developed RinSim, a simulator framework in Java for logistics. RinSim allows for scientific evaluation of algorithms for pickup-and-delivery problems. More information can be found about the program under projects. Implemented multi-agent systems and centralized algorithms for solving NP-hard logistics problems. Built a dataset generator in Java and scripts in R for data analysis and visualization. Developed a genetic programming approach to optimize multi-agent systems using more than 100 million RinSim simulations. Guided, evaluated, and gave lectures to students for courses about software design and multi-agent systems. Advised, motivated, and evaluated 15 students working on master thesis projects. Contributed to a project about autonomous vehicles, vessels, and drones. Analyzed and improved software design with Python. Investigated approaches for constructing virtual representations of the world and communicating the findings within a multidisciplinary technical team. Published three journal papers compared to an average of one for typical computer science PhDs. Each paper was published in a high-quality journal focused on one of the three areas combined in my research: operational research, multi-agent systems, and genetic programming. Designed and conducted empirical research. Expertly and systematically investigated scientific hypotheses.