Hardware-Software Integration Engineer

Sulthan Zahran Ma'ruf

Software Engineer specializing in industrial automation and data processing with expertise in AMHS, real-time logistics systems, and large-scale data pipelines. Selected as AMHS specialist for international deployment to integrate production systems for new manufacturing facilities.

I bridge the gap between PLC/control systems and modern software engineering—solving automation problems that stump pure CS engineers through deep understanding of both physical constraints and software architecture.

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Live Interactive Demos

Real-time systems hosted on zahranm.cloud subdomains

Throughput: Warehouse Survival Game

LIVE DEMO

React
Game Development
Mobile-First
Vite

The Problem

Traditional warehouse management is often seen as dry. I wanted to turn the chaos of material flow into a high-stakes, addictive arcade experience.

Solution

Developed a fast-paced survival game where you must fulfill orders and manage inventory while avoiding "rogue" warehouse robots.

Key Features

High-intensity "Shift" survival mechanics with dynamic difficulty scaling
Mobile-optimized touch and swipe controls for seamless gameplay
Persistent level system and XP-based upgrades to enhance player abilities

Open Live Demo →

Multiplayer Monopoly: Real-time Board Game

LIVE DEMO

TypeScript
WebSockets
React
Rust

The Problem

Building a real-time multiplayer experience requires low-latency state synchronization and a bulletproof rules engine that handles edge cases consistently.

Solution

Implemented a full-stack Monopoly clone using WebSockets for instant synchronization and a Rust-driven backend for state integrity.

Key Features

Real-time multiplayer lobbies with persistent game state
Automated property tracking, trades, and bidding systems
Robust backend rules engine ensuring fair and valid gameplay

Open Live Demo →

Featured Projects

Timing Diagram Analyzer

Python
SQL
Log Diagnostics

The Problem

AMHS incidents required engineers to manually reconstruct material flow from 100MB+ log files, delaying production restarts.

Solution

Built a diagnostics tool that parses raw conveyor, AGV, and robot events into interactive timelines so integration teams can isolate faults in minutes.

Key Features

Ingests multi-hundred MB AMHS logs and renders synchronized timelines in under two minutes
Advanced filtering to spotlight interlocks across conveyors, lifts, and vehicle fleets
Exports annotated incident reports for shift handovers and long-term RCA baselines

Impact

Cut incident diagnosis time from hours to minutes, directly improving 24/7 battery manufacturing throughput.

View on GitHub →

SQL Query Dependency Visualizer

Python
SQL Parsing
Graph Visualization

The Problem

Understanding legacy analytics queries with five or more interlinked CTEs made it painful to trace how data flowed through each transformation.

Solution

Implemented a SQL parser that maps CTE definitions and references into dependency graphs, producing instant visuals of table lineage.

Key Features

AST-powered parser with support for nested and recursive CTE chains
Directed graph output that highlights data flow between intermediate tables
Detectors for circular dependencies and unused CTE blocks

Impact

Gave data teams a shared view of complex query structure, accelerating refactors and onboarding for analytics projects.

View on GitHub →

SEC Financial Data Extraction Pipeline

Contact for Details

Python
LLM Automation
Data Pipelines

The Problem

Research teams were manually scraping hundreds of SEC filings to surface comparable financial metrics, consuming months of effort.

Solution

Delivered an automated pipeline that crawls filings, extracts structured data with LLM validation, and delivers clean datasets overnight.

Key Features

Headless crawler that processes 500+ filings (75k pages) into normalized document batches
LLM-assisted parsing with schema validation to safeguard financial metrics
Batch orchestration with monitoring hooks for fast reruns and audit trails

Impact

Compressed months of manual data extraction into a single nightly run, unblocking academic research timelines.

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Other Projects

Spectroscopy Analysis & Autofitting Tool

Contact for Details

Automated MATLAB workflow that ingests spectroscopy scans, fits curves to spectral peaks, and calculates critical physics constants for lab teams.

MATLAB
Scientific Computing
Curve Fitting

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BMKG Sensor Visualization Dashboard

Private Project

Real-time dashboard for Indonesia's BMKG that visualizes geophysical sensor readings to highlight anomalies and emerging trends.

Python
Real-time Data
Visualization

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Temperature Sensor Signal Filter

Private Project

Digital filtering pipeline that denoises raw temperature sensor signals while preserving responsiveness for downstream analytics.

Digital Signal Processing
Filtering
Embedded

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Work Experience

Smart Factory Integrator (AMHS)

LG Sinarmas Technology Solutions

Karawang, Indonesia Apr 2024 - Present

Selected as 1 of 4 engineers for a two-month deployment to South Korea, leading AMHS subsystem integration testing for two new LG ENSOL Ochang facilities.
Ran end-to-end validation of AMHS-AGV flows linking real-time dispatch, material control systems, and conveyor infrastructure built on an OpenTCS architecture.
Surfaced and resolved 15+ integration issues prior to go-live, preventing production delays.
Built Python and SQL Timing Diagram Analyzer that digests 100MB+ log files to shrink incident diagnosis from hours to minutes.
Developed logistics algorithms that orchestrate thousands of concurrent material moves across eight production lines in a 24/7 battery plant.
Introduced tooling upgrades including version control automation and static analysis, raising code quality for a 10+ person engineering team.

Research Assistant

Universitas Indonesia - FAAN Laboratory

Jakarta, Indonesia Oct 2023 - Mar 2024

Built a real-time spectroscopy analysis application in MATLAB App Designer for laboratory researchers.
Implemented signal processing pipelines and automated curve fitting for high resolution spectral datasets.

Technical Skills

Automated Material Handling Systems (AMHS)
Real-Time Dispatch (RTD)
AGV & Conveyor Integration
Python (Pandas, Flask)
SQL Server & MySQL
MATLAB App Designer
Log Diagnostics & Observability
ETL & Data Pipelines
LLM Integration (LangChain)
C# / WPF Tooling
Control Systems & PLC Programming
Docker & Linux Automation

Let’s collaborate

I’m always interested in complex systems work, automation, and developer tooling. Drop me a line and let’s make the unknown obvious.

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