🦸 ABOUT ME

Hi, I'm Jovan. University of Minnesota graduate. I've spent the last 2 years diving deep into the world of Software Engineering at several startups across the USA. My main gig revolved around creating innovative features as part of the R&D team. Lately, I've been heavily invested in refining my platform skills and crafting scalable software solutions in the cloud. As part of that, I decided to get certified in AWS and Kubernetes. Currently, I achieved the first half and am an AWS Certified Developer.


🏫 EDUCATION & CERTIFICATION

University of Minnesota

Bachelor's of Computer Science DEC 2022

Awards: Dean's List (all 4 years of studying), Graduated With Distinction, ISSS Scholarship Recipient

AWS Certified Developer - Associate

Validation number: 9b96857282e042a1b29c2d645abb7c34 APR 2024

CKAD

Certified Kubernetes Application Developer IN PROGRESS

🏢 PROFESSIONAL EXPERIENCE

Veza

Backend Software Engineer FEB 2023 - FEB 2024
  • Facilitated migration, refactoring, and maintenance of Exports within the Insights space, overseeing the transition from Frontend to Backend making export processing 10 times faster and asynchronous.
  • Built logic for time-based Digests, delivering customers daily, weekly, or monthly summaries of customer IAM information.
  • Coordinated with a team of 4 to enhance the Risks feature, enabling time series tracking of employee Risks across the client's Identity Permission Accesses, enhancing access to risk exposure history.
  • Managed access segregation for the Teams feature, ensuring each team accessed a customized view and restricted access to application data, allowing customers to practice least privilege strategies.
  • Continuously improved the API by implementing diverse filters, sorting mechanisms, and overseeing database migrations, adding customization value to the product.

Telesign

Data Science Intern JUL 2022 - DEC 2022
  • Analyzed and reported fraudulent patterns within labeled datasets through data analysis, contributing to the detection and prevention of financial fraud.
  • Created customized fraudulent features as indicators for specific customer fraud detection POCs with 95% accuracy.
  • Designed a C++ model for efficient feature calculation and implemented a pipeline to transfer these features to Python models, doubling computational efficiency in Jupyter Notebooks.
  • Played a key role in researching and developing a machine learning model for detecting fraudulent transactions, with 85% accuracy in the first iteration, utilizing data provided by Klarna.

Allianz

Operations Intern JUN 2021 - AUG 2021
  • Built and deployed software application that expedites the validation of customer contract rules in Excel.
  • Created SQL queries on AZL's database to enhance the accessibility of customer policies
  • Modernized an Excel template sheet that refreshes queries based on dependencies bypassing unnecessary data refresh cycles asynchronously.

Lindahl Academic Center

Athlete Tutor SEP 2020 - DEC 2021
  • Tutored athletes in one on one sessions for Computer Science, Statistics, and Calculus courses.

University of Minnesota College of Science and Engineering

Teaching Assistant SEP 2020 - DEC 2021
  • Assisted in teaching for courses CSCI 1913, CSCI 2021, and CSCI 2011 as an undergraduate teaching assistant.

CodeDay

CodeLabs Intern JUN 2020 - AUG 2020
  • Scraped data from over 50,000 papers, supporting hundreds of subjects available to query.
  • Used that data to extract paper references and subjects, visualize paper connections, and highlight the topics best suited to study before stating research the desired input topic.

🔧 SKILLS

Skill Level

💻 PERSONAL PROJECTS

Cloud Resume Challenge

Cloud Resume Challenge Page
APR 2024
  • Created a Static Website that fully utilizes AWS to run.
  • S3 used for hosting the static content
  • CloudFront used for delivering the content to the user
  • Combination of API Gateway, Lambda and DynamoDB used for counting users
  • Github Actions for CI/CD, overriding the S3 bucket and invalidating CloudFront cache

MinneHack (Hackathon)

  • Played a role within a team of 4 to develop a website that transformed user passwords into visually representative images using advanced parsing and generative AI.
  • Implemented an intuitive display mechanism to illustrate the vulnerability of simple passwords, exemplified by the transformation of "Dog_123" into a recognizable dog image and making it public to the other users. Urging the user to change their password.

LiteratureReviewAPI

Code Day (Hackathon)

JAN 2020
  • Collaborated with a team of 3 to construct an app designed to quiz users about their day and utilize the information along with the items in the user's fridge to suggest an appropriate meal to make.

Creating Optimal Transit Networks through Genetic Algorithm

DEC 2018
  • Developed a website designed to visually depict seminal paper trees, enhancing user understanding of academic paper relationships.
  • Managed the entire technology stack, ensuring reliability through the development of server API and crafting an intuitive Frontend.

🙋 VOLUNTEERING & ACTIVITIES

Mentor - CodeDay internship

CodeLabs MentorJUL 2024 - AUG 2024
  • Will be working as a mentor for the CodeDay internship. This is a program offering high-school students internship simulation and help them gain experience in the industry.
  • I will be working 4-5hr with a group of 4 students to deliver their chosen project over an 8 week period.

New York Cares

  • Serve and cook at the meatloaf kitchen in Lower East Side.

Run For Chinatown

  • Every Monday me and my friends run with the Run For Chinatown run club 4-5 miles. I believe this first started as a run club to help Chinatown recover the COVID-19 pandemic but now it's a support group for people to network and interact with Chinatown.

League of Legends - Ranked

  • I play ranked and I am Iron league and have never made it passed it. It is quite a challenging video game.
  • Support main: Soraka
  • Middle main: Tristan

IKON Pass holder

  • I ski :D ⛷

Museum Sunday

  • Every Sunday I try to go to a different museum or art gallery in New York. There are so many, but my favorite one would still have to be the Metropolitan Museum.