Mile is a modern and savvy Backend Developer with technical skills and competencies in the use of Python, Flask, PostgreSQL, Linux, and Git. He produces clean, efficient and performant solutions; employing a positive work ethic on projects as a fast learner, team player, and time conscious professional.
Provided solutions for documenting APIs, building HTTP JSON APIs and configuring Flask projects within Infoherc.
Designed and implemented unit and Postman tests, and deployed solutions to production using CentOS server.
Developed tools and libraries to handle Infoherc's databases (PostgreSQL and MySQL) and optimized a complex SQL Alchemy query which improved app performance by 5 times.
This is an electronic health record system being developed for use in Croatia. The system stores and retrieves health-related data from different healthcare providers and professionals for healthcare-related purposes. Built the HTTP JSON APIs on the system in Flask, optimized the overall performance of processes on the backend and is expected to have more than 100,000 users when it is launched.
The Admin site solution enables administrators to control their users, menu, give users specific roles, permissions, or privileges on their website. It allows administrators to send notifications to each user, view logs and errors, etc. and is very useful to developers and app owners. Worked on the HTTP JSON APIs in Flask on the admin panel used by clients to control everything on their website.
Drivetrain is an Android app which uses machine learning processes to predict which car a user might be interested in. The app had access to a 50GB dataset documenting used car transactions in the United States over several years. It was helpful in building and optimizing the model to improve predictions using details such as gender, age, income, and the number of children. Worked on the UI of the app using Android Studio and managed AWS integration with the backend. This was undertaken as an undergraduate project with two other students.
Education
Online Master of Science in Computer Science - Specialization in Machine Learning
Georgia Tech
2018 - 2020 (2 years)
Bachelor of Science in Computer Science and Engineering - Minor in Mathematics