We are on a mission to turn LatAm borrowers into savers. We started by doing credit card debt refinancing in Mexico, a +$13B USD opportunity in a country in which millions of people are trapped in predatory interest rates ranging between 50-100%.Visit https://digitt.com to know how we are achieving our mission.

• Setup server infrastructure and data pipeline in AWS in order to scrape content sent byusers• Developed APIs to be used by the different find services (frontend, data pipeline)• Built apps and demos for potential investors• Developed processes to be used by the team to communicate and manage tasks.Supplied guidelines and procedures to manage remote team

• Developed an API for our clients to process their drone imagery and turn them into 3dmodels• In charge of migrating our infrastructure to use terraform scripts and introduced the team to docker based deployments• Developed and maintained components for the image processing pipeline built on top of AWS services like Lambda, SQS, ECS and API Gateway• Worked with product owners, coordinated backlog grooming, sprint planning, and helped the team complete tasks successfully and on-time and resolved obstacles encountered by team members

Senior Software Engineer working on developing a learning object repository and using data analytics to help educators find better learning solutions.

Developing learning management system with socially oriented features (wall posts, likes, achievements, chat). Helped implement and maintain some of the features built in Django and JavaScript. Provided support to McGraw Hill editors with the creation/editing of their books by developing tools using frontend libraries CKEditor, MathJax and Mathquill.

Undergraduate research assistant for scientific heterogeneous parallel computing on Graphics Processing Units (GPU). Research focused on the analysis and development of optimized parallel CUDA and OpenCL code to boost performance of existing algorithms implemented in sequential applications.

One of sixteen students accepted to study computational engineering methods, particularly the methods of structural mechanics, fluid dynamics, computer programming for parallel clusters, and GPU computing. Two months of instruction by Stanford research field experts and the industry leaders such as NVIDIA Corporation, Summer 2009.Project: Contributing on the development of a visual debugging tool for Liszt. Liszt is a domain specific language designed to help engineers create solvers for mesh-based partial differential equations. The debugging tool allows the visualization of a mesh in 3D and the mesh’s values on vertices, faces, and edges numerically or using a range of color intensities.

Built several web applications for the IT department using Microsoft .NET and Microsoft SQL. Designed and developed an application to track printing of all the University labs using Microsoft .NET