thomas.dev
Open to opportunities

Thomas Sayang

Fullstack Industrial Engineer

Bridging industrial engineering principles with modern software to build systems that actually work.

Jakarta, Indonesia

About Me

The story behind the engineer who builds systems that last.

Profile photo
5+
Years of Experience
12+
Projects Shipped
3
Industries Served
$500K+
Documented Savings

I'm an Industrial Engineer who learned to code — and never looked back. I've spent the last 5+ years working on factory floors and in front of a terminal, building systems that connect the physical world of manufacturing with modern software.

My edge is that I understand both sides: the engineering fundamentals that make a process actually work, and the software stack to automate, visualize, and optimize it. I'm most energized when a dashboard I built helps a shift supervisor catch a failure before it happens, or when a layout algorithm saves a team weeks of spreadsheet work.

Certifications

Lean Six Sigma Green BeltGoogle Data Analytics CertificateAWS Cloud Practitioner (in progress)

Skills

A dual toolkit — industrial engineering fundamentals and modern software.

Industrial Engineering

Lean / Six Sigma92%
Value Stream Mapping88%
Simulation (Arena / AnyLogic)80%
Statistical Process Control85%
Supply Chain & Logistics82%
Ergonomics & Work Study76%

Software Development

Python90%
TypeScript / JavaScript88%
React / Next.js85%
Node.js / Express80%
SQL (PostgreSQL / MySQL)82%
REST APIs & GraphQL78%

Data & Analytics

pandas / NumPy88%
Power BI / Tableau84%
Machine Learning (scikit-learn)76%
Data Pipeline Design78%

Tools & Infrastructure

Git / GitHub90%
Docker74%
Linux / Bash78%
AutoCAD / SolidWorks70%
SAP ERP65%

Projects

Selected work at the intersection of industrial engineering and software.

Real-Time Production Dashboard
fullstack

Real-Time Production Dashboard

Web application connecting to factory PLCs to visualize OEE, cycle times, and downtime in real time.

Next.jsTypeScriptPythonWebSocketsPostgreSQLTailwind CSS
Facility Layout Optimizer
fullstack

Facility Layout Optimizer

Python-based combinatorial optimization tool that minimizes material handling distance using simulated annealing.

PythonNumPyReactFastAPIDocker
Predictive Maintenance ML Model
software

Predictive Maintenance ML Model

Machine learning pipeline that predicts equipment failures 48 hours in advance using sensor time-series data.

Pythonscikit-learnpandasFastAPIDockerPostgreSQL
Inventory Control Web App
fullstack

Inventory Control Web App

Full-stack ERP-lite application implementing EOQ, reorder points, and ABC classification for a mid-size manufacturer.

Next.jsTypeScriptPostgreSQLTailwind CSSPrisma

Experience

Where I've applied engineering and code in the real world.

Senior Industrial Engineer & Software Developer

PT. Maju Bersama Manufacturing

Mar 2022 – Present· Jakarta, Indonesia
  • Led digital transformation of shop floor reporting, reducing manual data entry by 90% via a real-time Next.js dashboard connected to PLCs.
  • Redesigned production layout using SLP methodology, cutting material handling distance by 18% and saving $120K/year.
  • Built and deployed a predictive maintenance ML model (91% recall) integrated with the CMMS, reducing unplanned downtime by 35%.
  • Managed a cross-functional team of 5 engineers across process optimization and software projects.
Next.jsPythonPostgreSQLDockerLeanSix Sigma

Industrial Engineer

Logistik Nusantara

Jun 2020 – Feb 2022· Surabaya, Indonesia
  • Conducted value stream mapping across 3 warehouse facilities, identifying $75K in annual waste reduction opportunities.
  • Developed a Python-based inventory optimization tool implementing EOQ and reorder-point models for 2,000+ SKUs.
  • Implemented SPC charts monitoring 12 critical process parameters, reducing defect rate by 22%.
  • Created Power BI dashboards for daily KPI reporting, replacing 15-page weekly Excel reports.
PythonPower BISQLLeanSPCVSM

Industrial Engineering Intern

Astra Honda Motor

Jul 2019 – Dec 2019· Karawang, Indonesia
  • Performed time-and-motion studies across 8 assembly stations, identifying 12% cycle time reduction opportunities.
  • Supported implementation of 5S program across the stamping department.
  • Developed VBA macros automating production reporting, saving 4 hours/week of manual work.
Excel VBAAutoCADLean5STime Study

Education

Bachelor of Engineering

Institut Teknologi Bandung (ITB)

2016 – 2020· Industrial Engineering· GPA 3.72 / 4.00
  • Thesis: Simulation-based optimization of a multi-echelon supply chain using Arena and Python.
  • Best Undergraduate Thesis Award — Industrial Engineering Department, 2020.
  • Member of IE Student Association; led annual industrial visit to 12 manufacturing sites.
  • Relevant coursework: Operations Research, Supply Chain Management, Manufacturing Systems, Statistics, Database Systems.

Professional Certificate

Coursera / Google

2021· Data Analytics
  • Completed 8-course Google Data Analytics Professional Certificate.
  • Capstone project: Analyzed 500K+ rows of manufacturing sensor data to identify failure precursors.

Get in Touch

Have a project in mind or want to collaborate? I'd love to hear from you.

I'm currently open to new opportunities in industrial software engineering, process digitalization, and fullstack development roles in manufacturing and supply chain.