FastAPI and Spring Boot are my usual tools.
I enjoy the part after βit worksβ: deployment, load testing, failure analysis, and the next iteration.
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MQTT, Kafka, time-series storage, consumer design, and load tests that check the final stored resultβnot just queue health. |
Parsers, layout engines, stable IDs, snapshot tests, and one-way data flows with explicit layer boundaries. |
Authentication, payments, async workers, caching, monitoring, recovery paths, and security-conscious API design. |
Telemetrix Β· |
Han-Flow Β· |
HoneyRest Β· |
AIDA Β· |
More things I have built
- Touch Bridge β accessible IoT interface for existing home appliances
- No-Click β AI-assisted review analysis for promotional content and missing drawbacks
- AI Exam Generator β a deployed exam-question service where I learned payments, workers, monitoring, and recovery
- Go Practice β concurrency, HTTP, transactions, testing, and performance notes
How the language card is calculated
honeyRest_host is excluded because it vendors about 11.4 MB of third-party JavaScript libraries under its static assets. The chart weights both code size and repository count; it shows repository composition, not a proficiency score.
studying Information Security @ University of Suwon
measuring telemetry throughput, stored-data integrity, and query bottlenecks
building a deterministic HWPX rendering pipeline
learning where backend design meets security, IoT, and product operations


