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Hi, I'm Brian Marcellino.

Computer Science graduate building AI, automation, and full-stack systems.

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AIGenAI/DL
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> /experience

Experience

IT Lead / Full-stack Engineer

Metropolia Technologies · Indonesia · Remote

Feb 2026 – present

Lead engineer behind Metropolia's production systems portfolio: a multi-tenant ERP platform (Orqest), a real-estate marketing site, a kost (boarding-house) marketplace, and the supporting self-hosted infrastructure (nginx, PM2, Docker, Postgres, n8n, Paperless-NGX, Grafana/Prometheus/Loki).

  • ✦ Designed and shipped Orqest ERP — multi-tenant React + TypeScript + Node.js system covering HR, finance, sales, IT business development, attendance (GPS + face verification), tasks/kanban, civil ops, inventory, and an employee portal.
  • ✦ Operate two live tenants on the same codebase (Metropolia and Midville) with isolated databases, isolated Node backends, and a release-symlink deploy pipeline.
  • ✦ Run the full Linux production stack on a self-managed Contabo server: nginx + Certbot, PM2 process management, dockerized Postgres + Redis, n8n automation, Paperless-NGX document archive, and a Grafana + Prometheus + Loki + Alloy observability stack.
  • ✦ Author of public-facing Next.js properties: orqest.id (corporate landing), bisnispropertimalang.id (real-estate marketing), and rukost.id (kost marketplace, dockerized web + API).
  • ✦ Implemented application-owned observability — /api/health, /api/metrics, dependency probes, request and Socket.IO metrics — with strict cardinality and security rules for the metrics endpoint.
TypeScriptReactNode.jsNext.jsPostgreSQLPrismaSocket.IOnginxPM2DockerLinuxn8nGrafanaPrometheusLoki

Deep Learning Intern Researcher

Binus @Malang · Malang, Indonesia · Hybrid

Feb 2025 – Feb 2026

Developing and improving deep learning models for apple fruit and apple leaf disease classification on a primary, locally-collected Poncokusumo dataset; integrating models into a Flutter mobile application; co-authoring international conference papers; legalizing four programs as registered HAKI.

  • ✦ Designed and trained CNN classifiers (InceptionV3, ResNet50, EfficientNet, MobileNet families, MnasNet, TinyNAS) on apple disease datasets — peak 98.89% test accuracy.
  • ✦ Co-authored 4 conference papers (ITIS 2025 ×2 incl. Best Paper, ICIMCIS 2025, ICAIDES 2025).
  • ✦ Integrated trained models into a Flutter mobile application (ManalagiCare) for on-device disease detection.
  • ✦ Authored four registered HAKI programs (DeCrop, AugmentKit, Lossion, Transparensify) — Indonesian copyright filings under Yayasan Bina Nusantara.
TensorFlowPyTorchInceptionV3MobileNetFlutterOpenCVAlbumentationsWSLCUDA

Freelance Pixels Player (Web3)

Pixels (Ronin) · Remote

Jul 2024 – Mar 2025

Maximized play-to-earn rewards on the Pixels (Ronin) Web3 game by completing daily quests, advancing skill trees, and consistently exceeding daily output targets.

  • ✦ Achieved optimal play-to-earn rewards through disciplined daily-task completion and skill progression.
  • ✦ Consistently exceeded daily quest targets while balancing other commitments.
  • ✦ Built and operated automation tooling (auto-clickers, queue scripts) to streamline repetitive workflows.
PythonSeleniumAutoIt

Independent Gold Trader

Self-employed · Remote

Mar 2021 – present

Active XAU/USD trader since age 17. Combines macroeconomic + geopolitical fundamental analysis with technical analysis; emphasizes disciplined risk management and emotional control.

  • ✦ Designed and executed systematic XAU/USD trading strategies with strict risk-mitigation rules.
  • ✦ Analyzed market movement using both fundamental analysis (macro, geopolitical events) and technical analysis.
  • ✦ Built personal automation around forex sentiment (n8n + LLMs) — basis for the SenFlow project.
XAU/USDMetaTradern8nLLM sentiment
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