Path 01 · full reference map
Problem Solving & Java Systems
Algorithms, Java internals, backend architecture, and low-latency systems practiced as one continuous engineering discipline.
Prior practice · disclosed carefully
I am not starting this path at zero.
These claims come from résumé-backed work. They are intentionally generalized, so the site shows what I have applied without inventing public artifacts or exposing private systems.
Backend systems
Built event-driven services and production workflows across Elixir, Go, Java, Python, PostgreSQL, Redis, and RabbitMQ.
Measured performance
Designed archival and API improvements that materially reduced database load and response time.
Real-time engineering
Designed high-throughput workflows, allocation systems, streaming pipelines, and operational dashboards.
Published progress
14%9 of 64 topics complete · updated with each site release
Phase 01
Algorithmic foundations
Build a durable pattern vocabulary before optimizing for speed.
Phase 02
Java foundations
Understand the runtime beneath everyday application code.
Phase 03
Advanced structures
Move from common patterns to graph and optimization problems.
Phase 04
Spring and enterprise Java
Connect language depth to production backend systems.
Phase 05
Performance Java
Make latency and resource behavior measurable.
Phase 06
System-design practice
Turn ambiguous requirements into explicit trade-offs.
Phase 07
Distributed patterns
Study coordination and consistency through concrete designs.
Phase 08
Build portfolio
Prove understanding through working systems.