Mile C.

Mile C.

Senior Software Engineer

Zagreb, Croatia
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About Me

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.

Work history

UpStack
UpStack
Backend Developer
2019 - Present (5 years)
Remote
  • Creating and developing innovative software solutions for clients across a broad range of industries.

Infoherc
Infoherc
Backend Developer
2018 - 2019 (1 year)
Mostar, Bosnia and Herzegovina
  • 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.

Portfolio

Backend Developer - eHealth System
Backend Developer - eHealth System

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.

Backend Developer - Admin Site
Backend Developer - Admin Site

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.

Android Developer - Drivetrain
Android Developer - Drivetrain

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

Education
Online Master of Science in Computer Science - Specialization in Machine Learning
Georgia Tech
2018 - 2020 (2 years)
Education
Bachelor of Science in Computer Science and Engineering - Minor in Mathematics
University of Nevada, Reno
2014 - 2018 (4 years)