Results-oriented Backend Engineer with a passion for building robust applications from the ground up. Proactive and innovative, with a positive attitude towards problem-solving. Experienced in designing and developing data pipelines, building APIs using AWS Lambda and RDS, and collaborating with cross-functional teams to deliver high-quality solutions.
Data Engineer
Worked as a Data Engineer on a system that lets financial advisors interact with their investors.
- Designed and developed data pipelines to process and ingest customer data into an SQL database.
- Developed a recommendation engine using Airflow to suggest products and solutions to customers.
Backend Engineer
Worked as a Backend Engineer on a system that lets financial advisors interact with their investors.
- Gave internal talks and trainings on Python, backend-related topics, and AWS Lambda and Step Functions
- Developed an API using AWS Lambda and RDS for a financial project.
- Improved overall code quality and project structure of an internal tool for data science models and data sources.
- Built development APIs and a Back-office UI to support team interaction with production APIs and configuration.
Backend Engineer
Worked as an API Backend Engineer on the core infrastructure that integrates with AI projects as well as UI and UX systems.
- Developed an internal API that handled JWTs, used by a SPA and many internal microservices.
- Built an API that handles containers running AI pipelines, sending real-time information to a SPA using SSE.
- Collaborated on a Node.js project responsible for aggregating data from Kafka and a Socket.IO server, delivering it to the SPA through GraphQL.
- Implemented an image file storage and serving API with advanced features such as file resizing and cropping.
Software Engineer
Worked as a Fullstack Developer on infrastructure solutions to support AI projects.
- Built a Django API used by a SPA and many internal systems to handle AI pipelines.
- Developed a custom solution to automate docker image generation, validation and upload to a private ECR.
Developer Intern
Worked on my Engineering thesis.
- Designed and developed an internal project specifically tailored for generating Neural Network training data, which enabled the tagging of images by multiple users.
- Successfully deployed the system on EC2, where it facilitated the tagging of over 5,000 images from various projects by a team of five taggers over a span of three months