Mihail Burduja

Software Engineer · Distributed Systems · Machine Learning

Bucharest, Romania

About

I’m a software engineer with a strong background in large-scale backend systems, security, and applied machine learning. I enjoy working close to real-world problems: reliability, abuse prevention, identity, data pipelines, and products that operate at scale.

I currently work at a global software company, where I contribute to core identity and security platforms used by millions of users worldwide. My work spans system design, backend development, and ML-driven features, with a strong focus on correctness, availability, and long-term maintainability.

Skills & Focus

Backend & Distributed Systems: designing and building scalable, multi-region services; APIs; data consistency; fault tolerance; and performance optimization.

Machine Learning (applied): feature engineering, classical ML and neural models, inference pipelines, and using ML pragmatically to reduce friction and automate decisions.

Engineering Craft: system design, architecture proposals, code reviews, debugging complex production issues, and collaborating across product, security, and operations teams.

Published Articles

M Burduja, RT Ionescu · 2021 IEEE International Conference on Image Processing (ICIP), 3787-3791 · 2021

Projects

MovieMatey moviematey.com

Movie recommendation web app with advanced search, labels, and group recommendations.

Django React TypeScript Embeddings
EconoSIM econosim.burduja.me

Govern a country. Allocate budgets across 10 categories. Watch an AI neural network predict how your policies reshape society over decades.

Simulation Game XGBoost Random Forest
Mastery Google Play · 150K+ downloads

Android app that tracks time spent on skill development. Gamifies practice sessions with streaks, milestones, and progress analytics to keep you consistently building expertise.

Android Kotlin Gamification Productivity
GeoPost geopost.burduja.me

Map-based social network where your feed is a live map. Pins scale by popularity and cluster by density across zoom levels. Supports upvotes, downvotes, and nested discussion threads, with a karma system that shapes local content visibility.

Real-time Maps Social WebSockets