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jimyeong/README.md

Jimyeong Jung

Full-stack engineer · IoT · Birmingham, UK

I treat domain understanding as the part of the work that cannot be delegated. AI tools handle syntax and boilerplate; I guard the parts that decide what a system is actually for — what to keep, what to discard, where the failure modes are, and how the data flow reflects the real-world problem.

Currently building deeper ML expertise on top of a full-stack + IoT foundation — UK Spouse Visa, no sponsorship required.


Currently building

Lidless Platform — Multilingual, IoT-aware conversational system React Native · TypeScript · Apollo GraphQL · Python · Anthropic Claude API · PostgreSQL

Distributed-by-design across four components (Controller / Hermes / Oracle / message broker), so a fault in one does not bring down the others. CQRS with outbox-inbox at the boundaries; GraphQL BFF gateway absorbing client divergence; tool schemas kept language-agnostic so the LLM serves whichever language the user is most comfortable in. Built with social housing tenants in mind, where first-language access matters.

OpsCheck — Home IoT telemetry & data analysis system TypeScript · Fastify · MQTT (QoS-1) · Zigbee · RabbitMQ · PostgreSQL · AWS SNS · Python

Zigbee chosen over Wi-Fi-only sensing because the data pipeline depends on the sensor layer not being the weakest link. Outbox + idempotent inbox + QoS-1 in combination — designed for a system where data preservation matters more than throughput. Notifications fire on state transitions, not raw thresholds: humidity must hold above 90% for an hour before the system shifts state and emits an alert. Behaviour modelled on how humidity actually behaves in the room.

Owlverload — Inventory & expiry tracking, in daily use at a Birmingham supermarket React Native · TypeScript · Go · PostgreSQL · Cloudflare R2

Sole-developer SDLC from Figma wireframes through App Store and Google Play deployment. Shipped v0 without wireframes to learn from real use; wireframed v1 after four months of observed friction. Wi-Fi dead zones in the shop were causing duplicate writes on reconnect, so an idempotency-key contract was paired with retry behaviour — interface and system contract designed together because the user's experience of failure depended on both.


Stack I reach for

Layer Tools
Languages TypeScript · Go · Python
Frontend React · React Native
Backend Node.js · Fastify · Apollo GraphQL
Data PostgreSQL · RabbitMQ · MQTT · Zigbee
ML / Data Pandas · Scikit-learn · Anthropic Claude API
Infra Docker · Nginx · Cloudflare R2 · AWS (foundational)

How I work

  • Domain first. Architecture serves the problem, not the other way around.
  • Failure modes are part of the design, not an afterthought. Outbox patterns, idempotency keys, QoS settings — these are decisions about what the system is allowed to lose.
  • MVP first, wireframe later, when the problem is messy. Real use produces friction that upfront design rarely captures.
  • Honest postmortems over polished retrospectives. I write down the wrong hypotheses, not just the right diagnosis.

Elsewhere

📍 Birmingham, UK · 🗣 English / 한국어

Pinned Loading

  1. sp6_stockmanager_server sp6_stockmanager_server Public

    Live retail expiry-date tracking system with a refactored clean architecture slice (Go backend)

    Go

  2. ops-check-service ops-check-service Public

    Reliability-focused backend system for ingesting sensor data, handling duplicates, and delivering notifications with exactly-once semantics using MQTT, PostgreSQL, and atomic worker claiming.

    TypeScript

  3. inventory-ops-mobile inventory-ops-mobile Public

    A React Native app for inventory tracking, expiry management, and retail operations.

    TypeScript

  4. lidless-oracle lidless-oracle Public

    "Ask the Oracle about mould" — RN chatbot integrating Claude with real IoT sensor data for UK home mould risk assessment.

    TypeScript

  5. iot-sensor-analysis iot-sensor-analysis Public

    Exploring home sensor data for mould risk detection — bathroom humidity, kitchen air quality, and living room environment. Built the hardware and pipeline; notebooks document what the data taught me.

    Jupyter Notebook

  6. lidless-hermes lidless-hermes Public

    GraphQL API gateway for Lidless Oracle — orchestrates Claude tool use, Firebase auth, and a Python IoT service for mould risk analysis.

    TypeScript