Arthur Felipe Melo Alvim

Fullstack Web Developer

Pluralsight•  August 2020 - December 2022

I worked as a Fullstack Web Developer at Pluralsight for almost three years. I contributed to the backend and frontend of many applications within Flow, a product aimed at collecting and visualizing development metrics. First, I was focused on data ingestion using Kafka and improving the performance of queries in their database. After that, I helped create new microservices inside the platform, allowing me to explore and up- date my frontend skills towards React.js and GraphQL. Technologies include: • Django + React.js • PostgreSQL + Kafka • Kubernetes + Gitops + Docker • JIRA as the issue tracking/SCRUM tool

CTO

Intelivix•  June 2015 - August 2020

I was the CTO (chief technology officer) of a law tech startup called Intelivix. My role over five years has included managing web, data, and scraping teams, setting technology goals for the company, budgeting and developing, and implementing research and innovation programs. We were invested in by FINEP and FACEPE, Brazilian agencies for science and startup support during that time. I designed the data pipeline for our main product: Legys Jurimetria. It constitutes a series of dashboards that help companies track legal cases that they are involved in. This way, legal teams could devise strategies to cope with similar issues instead of starting from scratch every time. This allowed them to expedite large numbers of cases, especially in small-claims court. This project initially involved scraping data from a variety of sources on the internet. Afterward, data was processed and enriched using ETL processes and integration with other cloud services. The finalized data was then displayed in a variety of Tableau dashboards focused on different characteristics, depending on what the legal team wanted to examine.

Web Developer

Claria Seguros•  January 2013 - January 2014

Claria is an insurance broker agency. My role there was to develop an MVP around a product for selling car insurance. Implemented both frontend and backend of the web application and also worked on an automation code for scraping data from other insurance websites. This code allowed customers to quickly find the latest and best offers available in one place. AWS was used for hosting the application. Technologies include: • Django + Scrapy + Celery (Python) • Backbone.js (Javascript) + HTML5 + Bootstrap Framework (CSS) • PostgreSQL • Amazon Web Services as Cloud Provider • JIRA as the issue tracking/SCRUM tool

Developer and Co-Founder

Widevis•  January 2011 - January 2013

Close to completing my master’s degree, I started a company called Widevis. It was selected for a pre-incubation program by Porto Digital. We had access to classes on entrepreneurship and consulting, specializ- ing in technology businesses. Our goal was to develop a social network to raise money for Brazilian soccer teams in exchange for the use of their stadiums, interactions with soccer players, and budget transparency.

Universidade Federal de Pernambuco

Computer Science, MS•  March 2010 - June 2012

My thesis focused on weighted clustering methods for symbolic interval data. I was mentored by Renata Maria Cardoso de Souza, Ph.D. who helped me to be selected for a scholarship (Fundação de Amparo à Ciência e Tecnologia do Estado de Pernambuco, FACEPE). I implement various clustering algorithms for symbolic interval data and compared their performance against mine for certain scenarios. I used Matlab, Python, and R as programming languages to support me in the experiments.