Curiosity,
put to work.

I connect operations, digital tools, and AI to build useful systems.

A visual study of people, ideas, and evolving systems.

Learn. Connect. Adapt.
A workflow becoming a reviewed networkAn illustrative schematic of paper notes becoming a structured, connected system with a human review step. The static view shows the calm final network. No customer records or measured project results are shown.
Illustrative schematic · Notes → structure → connections → review

Notes structure useful systems

Learn. Connect.
Adapt.

A human journey through evolving tools.

  1. Learn

    Start close to the source.

    Read the records, study the ideas, and listen to the people doing the work. Curiosity begins with context.

  2. Connect

    Give information a useful structure.

    Bring scattered notes and established systems into a clearer view. Keep every useful detail connected to where it came from.

  3. Build

    Turn ideas into practical tools.

    Test small changes, combine digital tools with AI assistance, and make repeated work easier to handle.

  4. Review

    Keep judgment with a person.

    Check what changed, question the result, and adapt. Technology expands the possibilities; human review shapes what is trusted.

The story

Built through
the work.

Jakarta · Operations, systems & applied AI

Business Operations & Technical Lead at PT Gateway Prima Indonusa in Jakarta. Embedded with the business: making old apps and newer apps work together so development and delivery to customers are more effective and efficient, turning legacy systems into fully working, more useful tools. Day work also spans network operations, WiFi mesh, and cloud technology including VPS. Night work is self-taught study across language models, machine learning, and agent systems.

Experience

  1. 2025 to Present

    Business Operations & Technical Lead

    PT Gateway Prima Indonusa · Jakarta

    Embedded with a Jakarta operations team, focused on improving the overall technical operation: analyzing how jobs, data, and handovers move day to day, then fixing the friction across internal tools, data pipelines, and legacy apps so operations run steadier and delivery to customers is cleaner and faster

  2. 2024 to Present

    Consultant

    CBG Logistics Indonesia

    Advising businesses in trade, logistics, and supply-chain operations across Asia, with focus areas in India and Australia

  3. 2023 to 2025

    Operations Coordinator & Systems Builder

    Industry · Jakarta

    Ran daily operations across multiple modes and modernized legacy workflows into fully effective systems

  4. 2022 to 2023

    Operations Officer

    Industry · Jakarta

    Handled documentation and daily coordination

Education, credentials & coursework

Education

  1. 2019 to 2021

    Bachelor of Commerce, Supply Chain Management

    Australia

    Scholarship recipient

  2. 2018 to 2019

    Bachelor of Science, Information Systems (Data Analytics Engineering)

    United Kingdom

    1st year

  3. 2016 to 2018

    Diploma, Business Administration (Supply Chain Management)

    Singapore

    Scholarship recipient

  4. 2015 to 2016

    Ontario Secondary School Diploma

    Malaysia

    International scholarship award

Credentials & coursework

  • 2025

    Building LLM Applications

    Algoritma Data Science School

  • 2025

    Career Essentials in Generative AI

    Microsoft & LinkedIn

  • 2025

    Introduction to Artificial Intelligence

    LinkedIn Learning

  • 2025

    Data Engineer Associate

    DataCamp

  • 2025

    Certified Professional in Logistics Management

    ISCEA

  • 2025

    Certified Supply Chain Analyst

    ISCEA

  • 2025

    PMI Project Management Ready

    PMI

  • 2024

    Google Project Management

    Google

  • 2024

    Business Foundations

    University of Pennsylvania

  • ongoing

    Self taught coursework across papers, lectures, evals

    Open notebook

How I work

Think in layers.
Build with intent.

A useful idea needs context, a practical test, and evidence to carry it forward. I learn from the result and refine the next step.

  1. Learn

    Start with original sources, observations, and the people doing the work. Organize facts, assumptions, and open questions before deciding what needs to change.

  2. Experiment

    Connect theory with a small, practical trial. Use AI to draft alternatives and challenge a first answer. Keep estimates separate from measured results, then compare the expectation with what happens.

  3. Validate

    Check structure, then verify claims against original sources. Model agreement is not proof. Human review and judgment stay part of the workflow before a result is applied, and feedback shapes the next iteration.

Geralcus R&D Lab

Side projects & lab notes.

My personal lab for side projects, supply chain experiments, and applied AI. I share what I build and learn at ggcd.tech.

Explore ggcd.tech (opens in a new tab)

Have a problem
worth exploring?

Open to collaboration on practical tools, workflows, and applied AI.

Based in Jakarta. CV shared directly by email on request.