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Industrial Automation Engineer | SCADA · PLC · AI

Hello, I'm

Hoàng

Building full factory automation with SCADA, PLC & AI.

3+ years in Japanese manufacturing ecosystems. Core strengths: SCADA/HMI supervision, PLC control design, and industrial AI for process optimization. Technical goal: connect field devices, control logic, and plant data into one automated system.

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Experience
3+ yrs
JP Manufacturing R&D
Core strengths
SCADA · PLC · AI
Supervise · Control · Optimize
Mission
Full Auto
End-to-end plant automation

About

Engineer pursuing total plant automation

I am an Automation R&D Engineer. My strongest pillars are SCADA systems, PLC programming & commissioning, and industrial AI applied to real production control — not lab-only demos.

I design closed-loop automation: sensors and I/O into PLC logic, supervised by SCADA, improved by AI models for anomaly detection, setpoint assistance, and process optimization — scaling from a cell to the full plant.

Experience in Japanese manufacturing gives me a foundation in JIS standards, high reliability, and continuous improvement — applied to real production constraints.

  • SCADA / HMI design, alarms, trends & plant overview
  • PLC logic, interlocks, motion & line control
  • Industrial AI for process insight & optimization
  • Full factory automation architecture (cell → plant)

Systems

Automation systems at a glance

The stack I focus on daily — SCADA supervision, PLC control, industrial AI loops, and full-plant architecture.

SCADA LIVE · LINE 04 OPERATOR VIEW · TAG BUS 120/s 07:45 :12 JST HI ALM TEMP PRES LIVE KPIs TANK_T 61.4 62.1 60.8 °C LINE_SPD 24.5 24.9 24.6 m/min CYCLE_CT 4821 4822 4823 cnt ALARM LVL_HIGH ACK T-102 · SEV 3 · OPEN NORM 5 TELEMETRY FLOW MACHINE LINE 04 PLC KV-8000 SCADA HISTORIAN PUMP-01 RUN CMPR-02 RUN CV-11 IDLE CV-12 ALM

SCADA / HMI

Realtime plant overview, KPI, alarms, and process trends for operators and engineers.

CLOSED-LOOP CONTROL AI + PLC · SENSOR TO ACTUATOR · CYCLE 12 ms LIVE SENSOR RTD 81.7°C SENSOR VAL AI MODEL IDLE Kp:1.4 SETPOINT PLC PID IDLE COMMAND ACTUATOR VFD RUNNING ACTUAL / FEEDBACK REGULATOR LOOP 12 ms OPTIMIZING CONTROL ACTIVE PID + DNN REGULATING LINE 04 SENSE INFER CONTROL ACT FB SET ACT SET 82.0 · ACT 81.9 AI Kp 1.4 · DT 2.0 ms · SAFE ON

AI + PLC Loop

Sensors → AI model → PLC decisions → actuators — closed-loop control and optimization.

Robot + PLC Cell

Yaskawa handling with safety zones, recipe jobs, and PLC orchestration.

FACTORY DATA FLOW ISA-95 STACK · BIDIRECTIONAL DATA BUS · CLOUD UPLINK UPLINK ISA-95 DATA BUS DATA ↑ MIX CTRL ↓ CLOUD CMD DISPATCH AI METRICS KPI · MODELS MES / AI CMD RELAY KPI / AI PREDICT · OPTIMIZE SCADA CTRL RELAY TELEMETRY TRENDS · ALARMS PLC CONTROL CMD EXEC TAG STREAM CONTROL · COMMAND FIELD DEVICE TX DATA RAW I/O mV · 24V · BUS FIELD I/O → PLC → SCADA → MES/AI → CLOUD · 120 tags/s · CLOUD → FIELD CONTROL

Plant Stack

Field → PLC Control → SCADA → Enterprise — the ladder toward full factory automation.

Projects

Technical work toward full automation

NDA-safe summaries. Each project framed as Problem → Solution → Impact — centered on SCADA, PLC, and AI.

SCADA LIVE · LINE 04 OPERATOR VIEW · TAG BUS 120/s 07:45 :12 JST HI ALM TEMP PRES LIVE KPIs TANK_T 61.4 62.1 60.8 °C LINE_SPD 24.5 24.9 24.6 m/min CYCLE_CT 4821 4822 4823 cnt ALARM LVL_HIGH ACK T-102 · SEV 3 · OPEN NORM 5 TELEMETRY FLOW MACHINE LINE 04 PLC KV-8000 SCADA HISTORIAN PUMP-01 RUN CMPR-02 RUN CV-11 IDLE CV-12 ALM

01 · Process Manufacturing

SCADA + AI Process Monitoring Line

  • SCADA
  • PLC
  • Industrial AI
  • Python
  • Historian

Problem

Operators lacked a unified view of line health; alarms were noisy and process drifts were detected too late, causing unplanned stops.

Solution

Deployed a SCADA layer with structured tags and alarm classes, feeding an AI model that flags anomalies early and writes assist setpoints back through the PLC.

Impact

Fewer false alarms
35%
Fewer false alarms
Less unplanned downtime
22%
Less unplanned downtime
Unified plant view
1 screen
Unified plant view
System Architecture · NDA-safe schematic diagram 
Field I/O → PLC → SCADA / Historian → AI Model → PLC Setpoints

02 · Electronics Manufacturing

PLC-Orchestrated Robot Handling Cell

  • PLC
  • Yaskawa Robotics
  • SCADA
  • Safety Interlock

Problem

SKU changes made fixed automation uneconomical; repetitive handling limited throughput and blocked higher automation levels.

Solution

Commissioned a PLC-led cell with Yaskawa recipes, dual-zone safety, conveyor interlocks, and SCADA job status for operators.

Impact

Throughput uplift
2.1×
Throughput uplift
Safety incidents
0 LTI
Safety incidents
PoC → production
6 wks
PoC → production
System Architecture · NDA-safe schematic diagram 
MES Recipe → SCADA → PLC → Yaskawa Controller → Gripper / Conveyor
FACTORY DATA FLOW ISA-95 STACK · BIDIRECTIONAL DATA BUS · CLOUD UPLINK UPLINK ISA-95 DATA BUS DATA ↑ MIX CTRL ↓ CLOUD CMD DISPATCH AI METRICS KPI · MODELS MES / AI CMD RELAY KPI / AI PREDICT · OPTIMIZE SCADA CTRL RELAY TELEMETRY TRENDS · ALARMS PLC CONTROL CMD EXEC TAG STREAM CONTROL · COMMAND FIELD DEVICE TX DATA RAW I/O mV · 24V · BUS FIELD I/O → PLC → SCADA → MES/AI → CLOUD · 120 tags/s · CLOUD → FIELD CONTROL

03 · Multi-site Manufacturing

Plant-Level SCADA & PLC Standardization

  • SCADA
  • PLC Standards
  • AI Roadmap
  • MES Integration

Problem

Sites automated in silos; no shared SCADA tag model or PLC standard to scale AI and multi-line control across the plant network.

Solution

Defined a phased full-automation roadmap: standard PLC templates → SCADA object library → AI data hooks → multi-site rollout.

Impact

Reference architecture
1 plant
Reference architecture
Faster pilot cycle
30%
Faster pilot cycle
Tech sign-off
100%
Tech sign-off
System Architecture · NDA-safe schematic diagram 
PLC Template → SCADA Library → AI Data Layer → Plant Rollout

Vibe Coding

AI-assisted projects I shipped

Deployed side projects built with AI-assisted / vibe-coding workflows — turning ideas into live products fast.

01
Web Development

ReMarket

Used goods marketplace web platform.

  • Full-stack Web
  • Marketplace
AI-assisted Live demo
02
Industrial / FA

HATSCADA

Real-time factory monitoring SCADA system with PLC integration.

  • C#
  • .NET
  • PLC
  • Web Monitoring
AI-assisted Live demo
03
AI / Automation

TubeMake

AI-powered automated video creation platform.

  • Python
  • AI / Video APIs
  • Automation
AI-assisted Live demo
04
Automation / Media

AutoCut

Automated video cutting tool from YouTube links.

  • Python
  • Video Processing
  • YouTube API
AI-assisted Live demo
05
Web Development

Portfolio

Personal portfolio website.

  • HTML
  • CSS
  • JavaScript
AI-assisted Live demo

Beyond work

Open mind, creative hands

Outside the factory, I stay curious — sketching, road-tripping, and exploring nature. These habits keep me open-minded and feed proactive creativity back into engineering: noticing structure, detail, and better ways to solve problems.

How hobbies shape my work

  • Openness — new places and cultures sharpen cross-border collaboration
  • Creative initiative — drawing trains observation and original problem framing
  • Proactive energy — outdoor trips rebuild focus for deep technical work
Portrait by Mount Fuji
Exploring Japan
Cherry blossoms and Mount Fuji
Nature and seasons
Autumn mountain road trip with jeep
Road trips
Sunset on the beach
Open horizons
Ink drawing of a cathedral
Sketching architecture
Ink drawing of a bird
Ink study
Colored drawing of a house facade
Color illustration
Pencil sketch of traditional houses
Urban sketches

Technical stack

Technical stack

A stack built for end-to-end Smart Factory delivery — hardware, software, and standards.

Technical stack by domain

PLC & Control

  • PLC (Keyence / Ladder / ST)
  • Interlocks & Safety
  • Servo & Motion
  • I/O Design
  • Yaskawa Robotics
  • Industrial Sensors

SCADA & AI

  • SCADA / HMI
  • Alarm & Trend Design
  • Historian / Tags
  • Industrial AI
  • Python / C#
  • Process Optimization

Systems & Standards

  • JIS Standards
  • Full Plant Automation
  • MES Integration
  • Technical Documentation
  • PoC → Production
  • Cross-border Engineering