In the past 10+ years of my career I've worked all over the stack, from the front end all the way to DevOps and system design.
Front-end
As a web developer, I have experience with frameworks like React and Ember to build large scale applications. In my professional experience, I have aquired the following skills:
- I'm trained in designing interfaces that are compliant with WCAG 2.
- I'm proficient with both JavaScript and TypeScript.
- I've created D3 visualization components for data analysis.
I also have some experience with Dart and Flutter to build mobile applications for personal projects.
Back-end
As a Java developer (and as a back-end developer in general), I've worked in enterprise and large, distributed applications for 5+ years. I the past few years, I have:
- Used frameworks like Spring, Maven, Gradle, and Play.
- Integrated with databases like PosgreSQL, MongoDB and Neo4J.
- Deployed Spring Boot and NodeJS Express based applications to Docker containers.
- Integrated Java micro-services services with cloud-hosted services like AWS RDS.
I recently wrote a book about back-end development: "Backend Developer in 30 Days".
Software Developer
Personal Projects
I like to learn new technologies and I'm constantly involved in trainings and hackathons. These are a few of the technologies I've tried outside my day job.
Hackathon: Developed an embedded application with Golang to retrieve pictures from a Raspberry Pi and send them to AWS Rekognition for facial recognition.
Created a blog about Serverless applications, hosted at Medium.
Hackathon: Developed an Angular application to visualize relationships between people stored in a Neo4J database, and displaying the data through a D3 data graph
Masters in Machine Learning
Georgia Institute of Technology
Projects created on school assignments
- Created models for regression and classification using Python and scikit-learn
- Built a classification model for a medical dataset to predict whether or not a patient is at risk of a stroke.
- Built a logistic regression model to predict business revenue based on past sales.
- Built a couple of reinforcement agents to solve mini-games:
- Pole-balancing problem
- Variations of a grid world.
- Built a convolutional neural netowrk with both Tensorflow and Pytorch to solve the following problems:
- Image classification.
- Style transfer.
- Build data visualization tools with D3 and used Tableau integrating with CVS files and PostgreSQL