About
Hey, I'm Jovan. I studied CS at Minnesota, spent a couple years building backend stuff at startups in New York, and somewhere along the way became the kind of person who starts a side project on a random Tuesday night and writes about it on dev.to. I've been into iOS lately — Swift is actually fun — and I keep finding excuses to plug AI into whatever I'm building. I'm an AWS Certified Developer and I'm heading to Brown for my Master's in CS starting Fall 2026.
Education & Certifications
Brown University
Master's of Computer Science
Fall 2026 – 2028
Awards: President's Scholarship recipient.
University of Minnesota
Bachelor's of Computer Science
Dec 2022
Awards: Dean's List (all 4 years), Graduated With Distinction, ISSS Scholarship Recipient.
Apr 2024
AWS Certified Developer
CKAD
In Progress
Experience
Everseen
Software Engineer II
Full-time
Mar 2026 – Present
Roadie
Software Engineer
Remote
May 2024 – Feb 2026
- Redesigned legacy delivery workflows in Figma and defined data models + migration plans for the transition from a Ruby monolith to Go microservices.
- Helped build the migration framework for UPS Mail Innovations clients, expanding delivery throughput from 180k → 306k daily shipments.
- Enabled Amazon Key integration, unlocking driver access to gated communities and parcel boxes — 8k+ new deliveries/day.
- Built internal debugging and support tools that reduced manual engineering intervention in customer-support workflows.
Veza
Backend Software Engineer
Feb 2023 – Feb 2024
- Migrated the Exports pipeline from frontend to backend, making processing 10× faster and asynchronous.
- Built time-based Digests that deliver daily, weekly, or monthly IAM summaries to customers.
- Led a team of 4 to extend the Risks feature with time-series tracking of employee access exposure across IAM.
- Built access segregation for Teams, enforcing least-privilege data access across customer organizations.
- Shipped API filtering, sorting, and database migrations to expand product customization.
Telesign
Data Science Intern
Jul 2022 – Dec 2022
- Analyzed fraud patterns in labeled datasets to drive customer fraud-detection pipelines.
- Engineered fraud-indicator features for customer-specific POCs, reaching 95% accuracy.
- Built a C++ feature-calculation model and Python pipeline, doubling Jupyter notebook throughput.
- Co-developed an ML fraud-detection model on Klarna data, hitting 85% accuracy on the first iteration.
Show earlier experience (2020 – 2021)
Earlier Experience
Internships & teaching 2020 – 2021- Allianz — Operations Intern. Built tools automating Excel contract-rule validation and wrote SQL queries for customer-policy access.
- UMN College of Science and Engineering — Teaching Assistant for CSCI 1913, 2021, and 2011.
- Lindahl Academic Center — Athlete Tutor for CS, Statistics, and Calculus.
- CodeDay — CodeLabs Intern. Scraped 50k+ academic papers and built topic-connection visualizations.
Skills
Languages
Cloud & Infra
Databases
Frameworks & Tools
AI / ML
Projects
Quest
Feb 2025Terminal-based coding-practice engine in Go. Pick a template, run checks, progress through a guided build — a CLI tutor that makes you write the code.
AI Workout Analyzer
Sep 2025Python tool analyzing workout form from video uploads via Google Gemini's multimodal API — rep-by-rep feedback and safety assessments.
Isekai Manga
Oct 2025React + TypeScript site that generates a personalized isekai story using LLMs. Built because I couldn't get hit by a truck in real life.
Mind Backlog
Oct 2025iOS productivity app in Swift + SwiftUI. Treats your mental to-do list like a sprint backlog — prioritize, reflect, decide.
Cloud Resume Challenge
Apr 2024This page! Static site on S3 + CloudFront, visit counter via API Gateway + Lambda + DynamoDB, CI/CD via GitHub Actions.
MinneHack
Jan 2022Team of 4. Built a site transforming weak passwords into AI-generated images (e.g. "Dog_123" → a recognizable dog) to illustrate password guessability.
Show older projects
LiteratureReviewAPI
Jul 2020Visualizes academic-paper trees and citation relationships, built with a custom server API and frontend.
Optimal Bus Transit Networks
Dec 2018Petnica Science Center research. Genetic algorithm in C++ for optimizing bus transit routes — minimizing commute time, maximizing coverage.
Outside Work
- CodeDay Mentor (Jul 2024 – Aug 2024) — mentored HS students through an 8-week internship simulation.
- New York Cares — volunteer cook at a meal kitchen on the Lower East Side.
- Run For Chinatown — weekly 4-5 mile run with the Chinatown run club (started post-COVID, now a neighborhood support network).
- Hobbies — IKON Pass skier, museum Sundays in NYC (MET on top), and a slow crawl up LoL Iron rank (Soraka / Tristana mains).