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.
Android app that tracks time spent on skill development. Gamifies practice sessions with streaks, milestones, and progress analytics to keep you consistently building expertise.
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.
The practice log that earns you your rest. Track every skill you care about. Log sessions, watch progress compound, and spend the coins you earn on guilt-free downtime.