Personal details
Yuri F.
Technical skills
About
I've been a developer for over a decade, and I've worked with various technologies, including Elixir, Phoenix, PostgresSQL, and Event Sourcing. I'm passionate about science and technology and always looking for ways to learn new skills, especially in business domains I haven't explored before.
Work Experience
At Brobot, we specialize in creating high complexity web scrapers for sensitive data consolidation from hundreds of different public services on behalf of our clients. In addition to this, we also develop tools to facilitate data analysis and support strategic decision-making. Our solutions eliminate a significant amount of manual labor, increase the reliability of processes, and provide our clients with access to valuable analytics and strategic data that would otherwise be unavailable.
At Brobot, I was responsible for setting up and developing the entire backend, frontend, and web scraping infrastructure. This involved using a range of technologies and techniques to create a robust and scalable solution. I also set up our REST API using Swagger/OpenAPI and developed our admin using LiveView.
During my time at Brobot, I had the opportunity to significantly increase my knowledge and experience in web scraping and job processing technologies such as Rihanna, Oban, and Broadway. I was able to apply this expertise to develop solutions that delivered exceptional results for our clients.
At CFT, we specialized in designing and implementing transformation projects and software to facilitate the scaling and optimization of complex processes. We have a track record of delivering successful projects in areas such as supply chain management and analytics, marketing forecasting and S&OP for large enterprises, high volume tax refunds based on data cleansing and analytics, jurimetrics using machine learning to predict the probability of success in high-value tax lawsuits, and lawful web scraping of websites with strong anti-scraper technologies.
Tax Refund Project: Lead Developer
As the lead developer on the Tax Refund project at CFT, I was responsible for automating the tax refund analysis system. This involved using technologies such as Elixir, PostgreSQL, Phoenix, GraphQL, CQRS, and web development, as well as Amazon Web Services (AWS), Docker, and Kubernetes. This project ran from April 2020 to September 2022.
Jurimetrics Project: Lead Developer
In the Jurimetrics project, I served as the lead developer and was responsible for developing a solution that used deep learning to predict fiscal court judgments. This involved using technologies such as Elixir, PostgreSQL, Phoenix, GraphQL, CQRS, web development, Python, web scraping, AWS, Docker, Kubernetes, JavaScript, Svelte, deep learning, machine learning, and Elasticsearch. This project ran from January 2020 to April 2020.