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Systems & Automation Infrastructure Engineer

Hi, I am
Glenferdinza.

I architect clean data pipelines, orchestrate backend systems, and bridge edge servers with scalable web applications.

[ Connect With Me ]

Scan or Click to open CV

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Glenferdinza Glenferdinza Glenferdinza Glenferdinza Glenferdinza Glenferdinza Glenferdinza Glenferdinza Glenferdinza Glenferdinza Glenferdinza Glenferdinza Glenferdinza Glenferdinza Glenferdinza Glenferdinza Glenferdinza Glenferdinza Glenferdinza Glenferdinza Glenferdinza Glenferdinza Glenferdinza Glenferdinza
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Core Architecture

The Systems Mindset

Full Systems Creed [Assembles on Scroll // Grab & Drag Nodes]
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SYSTEMS ENGINEERING AUTOMATION PIPELINES INFRASTRUCTURE OPERATIONS DEVOPS ENGINEERING MLOPS WORKFLOWS DATABASE CLUSTERING SCALABLE BACKEND APIS
SYSTEMS ENGINEERING AUTOMATION PIPELINES INFRASTRUCTURE OPERATIONS DEVOPS ENGINEERING MLOPS WORKFLOWS DATABASE CLUSTERING SCALABLE BACKEND APIS
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Project Portfolio

Projects (Current & Completed)

ESP32 MQTT BROKER NEXT.JS
ROLE: IoT Backend Engineer #0001

Sangkara — Web-IoT System Platform

  • Node.js
  • Express.js
  • MySQL
  • MQTT
  • HiveMQ
  • Next.js
  • ESP32
  • Designed secure RESTful API and custom MQTT routing layers using Node.js/Express.
  • Optimized MySQL telemetry database tables to support continuous insert loads.
JETSON N8N TUNNEL
ROLE: Infrastructure & Automation Engineer #0002

Edge Computing Server & Automation Hub

  • NVIDIA Jetson Nano
  • Docker
  • n8n
  • Cloudflare Tunnel
  • Linux
  • SSH
  • Configured lightweight Linux environment optimized for Jetson Nano developer kits.
  • Orchestrated Docker container groups for network monitoring and logging.
NEXT.JS CLIENT DJANGO API ML RECS
ROLE: Backend Engineer #0003

GolekOno — Smart Tourism Recs

  • Django
  • PostgreSQL
  • Next.js
  • Machine Learning
  • Clustering
  • Built relational trip schemas and highly optimized query layers on PostgreSQL.
  • Engineered Django REST APIs to serve clustered recommendation profiles efficiently.
OPENCV FEED PIPELINE STREAM DASH
ROLE: Backend & Web Developer #0004

Platform Visualisasi Data Real-Time

  • OpenCV
  • Python
  • Web Streaming Ecosystem
  • Websockets
  • Developed high-frequency Websocket relays for real-time video frames and statistics.
  • Optimized OpenCV python scripts for feature tracking and coordinate distance changes.
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TELEMETRY PIPELINES MQTT ROUTING RELAYS DOCKER CONTAINERIZATION CLOUDFLARE TUNNELS LINUX SYSTEMS ADMINISTRATION REAL-TIME DATA STREAMING IOT NETWORK NODES
TELEMETRY PIPELINES MQTT ROUTING RELAYS DOCKER CONTAINERIZATION CLOUDFLARE TUNNELS LINUX SYSTEMS ADMINISTRATION REAL-TIME DATA STREAMING IOT NETWORK NODES
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Interactive Environment

Systems Engineering Notebook

glenferdinza_infrastructure.ipynb
File Edit View Insert Runtime Tools Help
RAM / Disk (Connected)

Systems Diagnostics & Chronicles

This notebook serves as an interactive telemetry log backtracing my engineering journey. Run the code blocks below to verify runtime parameters and unpack infrastructure milestones.

In [1]:
# Load and parse the infrastructure timeline chronicles
from portfolio import Glenferdinza

chronicle = Glenferdinza.load_journey()
chronicle.display_milestones()
Out [1]:
2024 Foundational Computing & IT Migration
Took the first step into the tech world by enrolling as an IT student at UNY, starting entirely from scratch. Focused heavily on building core programming logic, understanding foundational computing concepts, and getting comfortable with basic terminal environments.
2025 Backend Engineering, IoT, & Infrastructure Operations
Shifted focus toward core system development and infrastructure. Deep-dived into building scalable RESTful APIs using Node.js (Express.js) and MySQL, managing real-time data telemetries via MQTT protocols, and handling self-hosted local environments using Docker, n8n automation, and Cloudflare Tunnels on NVIDIA Jetson Nano boards.
2026 - PRESENT AI Integration & Deep-Diving into MLOps
Bridged the gap between backend engineering and intelligent systems by developing machine learning routing services (Django/PostgreSQL) and data preprocessing NLP pipelines. Currently deep-diving heavily into DevOps, focusing specifically on MLOps workflows to efficiently containerize, deploy, and monitor Machine Learning models from edge devices to cloud environments.
In [2]:
# Load and run word cloud sentiment generation from corpus dataset
from sentiment_analysis.sentiment_model import run_sentiment_pipeline

run_sentiment_pipeline()
Out [2]:
[SUCCESS] Word cloud output generated: public/images/wordcloud.png
Sentiment Analysis Word Cloud
Professional History

Data Handling Experience

2026 — PRESENT

Academic Research Assistant

Universitas Negeri Yogyakarta
  • Macroeconomic Sentiment Analysis (BRICS)

    Built automated data pipelines in Python to scrape financial reports and news from Bloomberg; managed text preprocessing on large datasets and fine-tuned NLP sentiment analysis models.

  • Wireless IoT (LoRa Project)

    Programmed ESP32 C++ firmware for long-range communication nodes; ran extensive physical validation testing and analyzed bit error rate analytics to measure signal stability.

2025 — 2026

Data Team Coordinator & Analyst

PKM CENTER UNY
  • Database Management & Scientific Audits

    Validated, clean-processed, and hosted internal repositories evaluating 700+ scientific and research proposal submissions for university compliance.

Engineering Tool Belt

Technical Blueprint

Interactive Sandbox: Grab and drag nodes to explore.

Glenferdinza AI Assistant RAG Systems Engine
SYSTEM RESYNC INITIALIZED
[DEFRAG] Wiping viewport nodes...
[ROUTING] Backtracing ports 80/4321 -> HOST...
[STATUS] Interface return override: SUCCESS