I build complete systems: interface, API, database, automation, deployment, and the hardware edge where software touches the real world.
browser UI -> API engine -> database -> realtime layer -> cloud -> device edgeOpen system map
| Layer | Signal |
|---|---|
| Frontend Cockpit | Responsive UI, dashboards, 3D scenes, product polish |
| Backend Core | REST APIs, auth, reports, data models, realtime flows |
| Data & AI Engine | Optimization, automation, AI-assisted workflows, analytics |
| Cloud & DevOps | Linux, Docker-minded deployment, CI/CD habits, production hygiene |
| Embedded Edge | C/C++, Arduino/ESP32/STM32 direction, sensors, MQTT, UART/I2C/SPI |
| Product Layer | Practical UX, performance, security basics, finished-feeling systems |
Run: scan --full-stack
frontend:
- React / Next.js direction
- HTML / CSS / Tailwind
- Three.js and interactive visual systems
backend:
- Node.js / Express
- MongoDB / PostgreSQL direction
- JWT auth, file pipelines, reports, APIs
systems:
- Linux, Git, GitHub, Docker-minded workflow
- realtime architecture and service boundaries
ai_data:
- optimization logic
- automation pipelines
- AI-assisted product engineeringRun: scan --hardware-edge
embedded:
languages: [C, C++]
boards: [Arduino, ESP32, STM32, Raspberry Pi]
protocols: [UART, I2C, SPI, MQTT]
direction:
- sensor telemetry
- firmware fundamentals
- device-to-cloud bridges
- automation that connects code with physical systems|
A full-stack logistics planner for smarter container loading with 3D visualization, optimization logic, authenticated workflows, Excel import, PDF reports, and public sharing. |
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Project cockpit
| System | Built signal |
|---|---|
| 3D Engine | Interactive container scene with Three.js |
| API Core | Node.js, Express, MongoDB, JWT |
| Optimization | COG, load-balance, axle score, multi-container selection |
| Workflow | Excel import/template, reports, shareable public views |
| Product Feel | Operational UI for logistics planning and load inspection |
Public source built as reusable foundations: real problems, clean architecture, quick-start docs, tests where they matter, and deployable demos.
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Device-to-cloud telemetry starter for ESP32/STM32 fleets with ingest API, device state, alert scoring, simulator, and tests. |
Python invoice extraction pipeline with structured JSON/CSV output, validation flags, confidence scoring, sample invoice, and tests. |
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Warehouse workflow API for receiving stock, moving bins, pick tasks, inventory snapshots, event history, and operator analytics. |
Production-minded deployment kit with Docker Compose, Nginx, GitHub Actions CI, healthcheck script, release checklist, and backup policy. |
Open-source quality bar
| Repo | Problem solved | Source signal |
|---|---|---|
| container-packing | Logistics loading and 3D inspection | Full-stack flagship build |
| fleetpulse-iot-hub | Device telemetry and alerting | Node API, simulator, tests |
| invoicelens-ai-pipeline | Invoice extraction workflow | Python CLI, parser, sample, tests |
| warehouseflow-os | Warehouse inventory operations | Workflow API, event ledger, tests |
| launchops-kit | Deployment and release hygiene | Docker, Nginx, CI, ops docs |
Why embedded belongs in my stack
Modern products do not stop at the browser. The real magic happens when software can move through the whole chain: UI, backend, data, automation, and device telemetry.
sensor -> firmware -> protocol -> broker/API -> dashboard -> decisionDevice-cloud bridge blueprint
| Stage | Direction |
|---|---|
| Firmware | Read sensors, control actuators, keep timing stable |
| Protocol | MQTT, UART, I2C, SPI, serial debugging |
| Backend | Ingest telemetry, validate events, persist state |
| UI | Realtime dashboards, alerts, charts, operator controls |
| Automation | Rules, reports, optimization, AI-assisted insights |
focus:
- full-stack products that are useful end to end
- 3D web apps, realtime interfaces, and operational dashboards
- backend systems with clean APIs, auth, data models, and reports
- optimization, automation, and AI-assisted engineering workflows
- embedded/IoT: firmware basics, sensors, telemetry, and device-cloud bridgesActivate 3D contribution layer
This panel is generated by GitHub Actions after the profile workflow runs.
I care about products that feel complete: clear interfaces, understandable APIs, reliable data flow, measurable performance, and hardware/software pieces that can talk to each other.
Strong software is not only code that runs. It is code that explains itself, scales with the idea, and survives real users.