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Xaena53/README.md
Xaena53 β€” Full-Stack Developer, streaming and real-time systems currently building Asfalya

AnimeRank media pipeline architecture

A production anime streaming platform built end to end β€” peer-to-peer ingest, GPU-accelerated adaptive HLS, 4K restoration for legacy sources, and an AI-assisted subtitle pipeline sitting alongside a 21,000+ title catalog.


RepChat live-support architecture

A live-support runtime running in production β€” embeddable widget, WebSocket gateway, category-routed queues, and an AI greeter that resolves the easy tickets before a human ever sees them.


Kurenai subtitle translation pipeline

A GPU-batched translation pipeline for anime subtitles β€” season-aware episode matching and a budget-cap gate that governs spend without touching correctness.


Asfalya β€” vehicle-mounted road damage detection for municipalities

Computer vision for municipal road maintenance. Phone cameras ride on city buses; a YOLO11 detector trained on 35,984 images finds potholes, cracks and sunken manholes; GPS interpolation and OSM map-matching pin each one to a street, and duplicate sightings across passes collapse into a single tracked repair. Faces and plates are blurred before detection β€” the pipeline refuses to process an unmasked frame at all, so the privacy rule cannot be forgotten. Node/Express + PostGIS behind a MapLibre panel, with weekly PDF reports for the public works desk.


AdsPilot β€” guarded Google Ads automation over MCP

An MCP server that hands Google Ads to a language model without handing it your budget. Campaigns are created paused, budget increases require explicit human consent while cuts go through freely, the account owner sets a ceiling the model cannot raise, and scraped site copy is treated as untrusted input rather than instructions. Every one of those gates is verified by mutation β€” the guard is broken on purpose to confirm a test catches it, because a guard whose removal leaves the suite green is not a tested guard. Shortlisted at the GSMA MENA Ignite hackathon.


Production hardening β€” defense in depth

Capability tree β€” 27 technologies grouped by role, each branch naming the shipped projects that use it

Grouped by the job each tool does, and every branch names the projects it is actually used in. The list was read off the dependency manifests in those repositories β€” it is a record of what ships, not a list of things tried once.


Live build β€” self-typing code panel

Engineering core competencies

Verified metrics β€” 1,239 passing tests and model training curve

Numbers on this page are measured, not estimated: test counts come from the suites that gate every push, and the training curve is the actual run that produced the road-damage model β€” including the class it is still weak at. Counting passing tests is the weaker half of the claim, though, since a test can run a line without checking what it did; the AdsPilot suite is held to the stricter standard of mutation, where each guard is broken to confirm the suite notices.


Upstream contributions and shipped systems

bedometom@gmail.com


DWG SET XR-001 β€” XR-025 Β· REV 2026.08

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