Mirza Radoncic
Software Developer at HUB International
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolMirza Radoncic is a Full Stack Software Developer with eight years of hands-on experience building web applications across healthcare and insurance domains, currently contributing at HUB International in New York. He combines practical backend and frontend skills with a collaborative mindset developed through roles from internships at Northwell Health to full-stack positions at All American Healthcare and FJA-US. Mirza is actively expanding his cloud and modern web toolkit—recently studying AWS and Next.js v14—which complements his academic foundation in computer science and applied mathematics. Known for enjoying teamwork and mentoring (evident from his teaching assistant role), he brings reliable delivery, curiosity, and a steady progression into cloud-native development.
8 years of coding experience
3 years of employment as a software developer
Computer Science, Computer Science at City University of New York City CollegeDesign and Applied Arts, 3.9 Cumulative GPA, Design and Applied Arts, 3.9 Cumulative GPA at Fiorello H. LaGuardia High SchoolBachelor of Science in Computer Science and Applied Mathematics and Statistics, Software Development and Theory of Computation, Bachelor of Science in Computer Science and Applied Mathematics and Statistics, Software Development and Theory of Computation at Stony Brook University
English, bosnian, montenegrin, serbo-croatian, Spanish
Github Skills (15)
jquery5
css4
java4
spring-boot4
hibernate3
javascript3
python3
html2
algorithms2
music1
nodejs1
mongodb1
music-streaming1
react1
streaming1
Programming languages (2)
Github contributions (5)
mirzarad/Memories
Dec 2021 - Mar 2022
Contributions:37 commits, 32 pushes, 1 branch in 2 months
mirzarad/Majority-Minority-Congressional-Redistricting-Generation
Nov 2019 - Dec 2019
🗺️ The system developed in this project allows for the generation of congressional district boundaries without political influence but with the maximum number of majority-minority districts. This system relates to, but is different from, systems developed in previous sections of CSE308. Those systems gathered data associated with this topic, analyzed the data using many of the proposed measures of Gerrymandering, presented the data in a way that highlighted the effects of gerrymandering, and explored various algorithms for automatic redistricting.
Contributions:52 commits, 30 pushes in 1 month
congressional-district-boundariescssgerrymanderinghibernatejava
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