Dizi Assyafadi Putra

Dizi Assyafadi Putra

Cloud Engineer • Distributed Systems Builder • Endurance Runner

Hi! I'm Dizi. I engineer resilient cloud infrastructure at Philip Morris International, build automated financial intelligence systems, and train for marathons. I believe in pragmatism, mechanical sympathy, and cultivating ideas in the open.


💼 Work Experience

Cloud Engineer

Philip Morris International 2024 — Present

Leading cloud infrastructure automation, Kubernetes platform resilience, and SRE observability initiatives across enterprise multi-cloud environments (AWS / GCP).

  • Architected automated infrastructure pipelines reducing deployment downtime by 40%.
  • Engineered distributed telemetry dashboards (Prometheus, Grafana, OpenTelemetry) for high-throughput microservices.
  • Maintained resilient, cost-optimized container orchestration platforms.

🎰 Automated Trading Bot

Active Engine

Asynchronous algorithmic execution engine built on MetaTrader 5 (MT5) with quantitative position sizing, dynamic volatility filters, and automated risk management.

Python MT5 AsyncIO Algorithmic Trading

📊 IDX Stock Intelligence Platform

Active System

Financial market intelligence pipeline scraping Indonesian market disclosures, applying NLP sentiment scoring, and generating actionable technical signals.

FastAPI Go NLP / LLM PostgreSQL

🌿 Dizi's Knowledge Space

Digital Garden

Living second brain crafted with Quartz 5, custom Newsreader & DM Sans typography, graph knowledge discovery, and automated deployment pipelines.

Quartz 5 TypeScript SCSS Obsidian

🛠️ Technical Matrix

  • Cloud & Platforms: Kubernetes, Docker, Terraform, AWS, Google Cloud Platform, Linux internals.
  • Languages & Frameworks: Go, Python, TypeScript, Bash, SQL.
  • SRE & Practices: CI/CD Pipelines, Prometheus, Grafana, Distributed Consensus, High Availability.
  • Interests: Algorithmic Trading, Long-distance Running, Quantitative Finance, Open Source.

📬 Let’s Connect

Whether you want to discuss distributed systems architecture, algorithmic models, or swap running training logs, I’m always open to chat.