Industrial IoT
Machine data collection, telemetry pipelines, MQTT flows and dashboard-oriented device modeling.
Industrial IoT • Real-Time Systems • Full-Stack Service Architecture
I design, build and ship production-focused software systems for industrial and operational environments. My work covers machine connectivity, telemetry pipelines, real-time dashboards, cross-platform delivery, background services and deployment-ready architecture.
Focus Areas
The portfolio is organized around deployable systems, not isolated UI screens. The emphasis is data flow, service boundaries, observability and delivery.
Machine data collection, telemetry pipelines, MQTT flows and dashboard-oriented device modeling.
WebSocket, Socket.IO, live dashboards, background workers and async task notifications.
Microservices, API gateways, Redis, PostgreSQL, Docker Compose and deployable service boundaries.
Windows services, Linux services, executable packaging, installer workflows and deployment validation.
MTConnect, LSV2, CNC API research, machine state normalization and industrial data extraction.
Business process tools, sync services, monitoring utilities and operational dashboards.
Engineering Work
I work below the surface of the interface: data ingestion, protocol handling, service boundaries, runtime behavior, deployment packaging, health checks, logging and production-oriented delivery.
Built the service layer that reads operational data from a local SMARTFACTORY database, normalizes machine identity and publishes deterministic telemetry payloads to a cloud MQTT broker.
Created a FastAPI-backed monitoring application that parses camera source data, protects sensitive fields, exposes clean API endpoints and serves a browser-based operational map interface.
Developed the technical structure for a parking-space rental product with authentication, listings, map discovery, media handling, favorites, messaging and notification-driven user flows.
Built a containerized web platform with real-time game state synchronization, authentication services, user and social modules, gateway routing and monitoring-oriented service separation.
Designed a multi-service product architecture with frontend routing, authentication, profile management, media handling, location logic, interaction tracking and match scoring workflows.
Worked on extracting operational data from industrial CNC machines by researching vendor protocols, native communication libraries and controller-specific access methods for Industry 4.0 monitoring flows.
Built supporting infrastructure utilities that turn development work into runnable environments: Dockerized brokers, ARM binary build environments and Linux background synchronization services.
Engineering Approach
The recurring pattern across my work is converting raw operational data into monitored, packaged and deployable software systems.
Read machine, camera, database, protocol or service-level data from the source system.
Convert raw records into stable identifiers, clean payloads and service-ready structures.
Move data through MQTT, WebSocket, REST, polling workers or gateway services.
Package the system, add logs and health checks, then prepare it for Windows or Linux runtime.
Technology Stack
The stack is intentionally grouped by system responsibility: backend, frontend, industrial protocols, data, delivery and diagnostics.
Python, FastAPI, Flask, Node.js, Go, C, C++, C#
React, Next.js, TypeScript, React Native, Expo, Tailwind CSS
MQTT, MTConnect, LSV2, Modbus, OPC UA, ThingsBoard, CNC APIs
PostgreSQL, Redis, SQLite, SQL Server, PostGIS, TimescaleDB
Docker, Docker Compose, Windows Services, systemd, Nginx, PyInstaller, Nuitka
Wireshark, dumpbin, Dependencies, ILSpy, TCPView, Windows API tools
Core Systems Background
These projects are kept as supporting evidence of C, C++, Unix, networking, algorithms, graphics, concurrency and DevOps fundamentals.
Contact
Best fit: industrial data collection, real-time monitoring, internal operational tools, service deployment, integration research and production-oriented dashboards.