Please cycle forward for my CV!
As part of the R&D team, I built software for machine learning with Python and TypeScript. I acted as the lead developer in a project including as many as seven of my colleagues at at time and participated in numerous meetings with our clients to better understand their needs.
As AI engineer, I helped clients build machine learning solutions. I also was actively involved in recruitment by carrying out tech interviews.
Our technology stack included technologies such as Django, Vue.js, Apache Kafka, Postgres, OpenAPI, NGINX, Docker, and Kubernetes.
I was actively involved in defining vision, mission as well as research and product roadmaps for the company.
With my colleagues we created front-ends, backends, command-line tools, databases, logging, monitoring as well as analytics solutions to power our build-measure-learn cycle and various products.
We wrote code mostly in TypeScript and Python, using tools such as PyTorch, Amazon SageMaker, GraphQL, Next.js, Gatsby, GraphQL and Prisma.
I developed radio positioning algorithms using Matlab and implemented them in production using Java and Scala with Apache Spark and Cassandra. I also lead the bluetooth positioning project.
I stored algorithm performance metrics to ElasticSearch and created a front-end UI for comparing algorithms.
I was the Data team lead responsible for processing high-volume end-user positioning data and exposing data through a REST API and front-end UI.