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okfriansyah-moh/README.md

👋 Muhammad Okfriansyah (Opi)

Engineering Manager · Backend Systems · Distributed Systems · AI Systems Builder

I build systems that run in production, not just in slides

🧠 About Me

  • Engineering Manager @ Mekari
  • Focused on backend architecture, distributed systems, and AI-driven pipelines
  • Strong bias toward deterministic, observable, and scalable systems
  • Builder of autonomous systems that generate real output (content, signals, revenue)

⚙️ Tech Stack

Category Stack
Languages Go, Node.js, Java, Python
Backend REST, gRPC, event-driven systems
Database PostgreSQL, Redis, MySQL, NoSQL
Infrastructure Docker, Linux, CI/CD, Kubernetes
Architecture Distributed systems, queues, state machines
AI Layer LLM integration, autonomous pipelines

🧩 System Design Principles

  • Prefer simplicity over flexibility
  • Single orchestrator > distributed coordination
  • Idempotent operations everywhere
  • DB-backed state machines > implicit state
  • Cron-driven pipelines > complex schedulers
  • Observability is mandatory

If failure modes are unclear, the system is not production-ready.

🚧 Key Projects

🔹 MD-AME (Autonomous Content Engine)

  • End-to-end pipeline:
    • Input → Clip extraction → Processing → Publishing
  • Multi-channel YouTube system
  • Focus: automation, throughput, monetization

🔹 KOC Engine (Locked Architecture)

  • Deterministic content production system
  • Built for reliability, repeatability, and scale
  • Execution-focused (no experimentation layer)

🔹 Market Intelligence Assistant (Planned)

  • Multi-asset scanner:
    • Crypto, US stocks, Indonesian stocks
  • Features:
    • Signal generation
    • Portfolio tracking
    • Whale + liquidity tracking
    • Telegram/WhatsApp alerts

Goal: Actionable decisions, not dashboards

💰 Investing Approach

Aspect Strategy
Style High-risk, high-return
Focus Asymmetric bets, low market cap
Approach Long-term + selective swing
Constraint Discipline > emotion

Avoid:

  • Narrative-driven trades
  • Overtrading
  • No exit strategy

📊 Engineering Leadership

I optimize teams for:

  • High deployment frequency
  • Low lead time
  • Fast recovery (MTTR)
  • Controlled failure rate

Frameworks:

  • OKRs
  • DORA metrics
  • Continuous delivery

🔗 Connect

⚡ Operating Principle

Build → Test → Observe → Iterate

🧭 Direction

Building systems that:

  • Generate revenue
  • Scale without linear effort
  • Operate with minimal human input

📈 GitHub Stats

Pinned Loading

  1. a2a-brainstormer a2a-brainstormer Public

    A2A-powered brainstorming engine that converges ideas into architecture and roadmap artifacts. The idea is Deterministic multi-agent brainstorming via A2A: idea → architecture → execution plan.

    Go

  2. ares ares Public

    AI Repository Standard (ARS) — define portable AI coding knowledge once in .ai/, compose for Cursor, Copilot, Claude Code & Codex. Reference CLI implementation.

    Go 1

  3. crypto-sniping-bot crypto-sniping-bot Public

    Deterministic event-driven crypto sniper bot capturing early liquidity events on DEXs. Filters scams, scores momentum, validates EV, executes via multi-wallet low-latency engine, and exits fast. Ad…

    Go

  4. data-structure-and-algorithm data-structure-and-algorithm Public

    This is the repository for learning and memorization about data structure and algorithm

    Java

  5. shorts-generator shorts-generator Public

    An autonomous, local-only content production pipeline that transforms long-form gameplay recordings into fully packaged YouTube Shorts — ready for scheduled publishing with zero cloud cost.

    Python

  6. skeleton-parallel skeleton-parallel Public

    A reusable baseline repository that serves as a foundation for building deterministic, modular, AI-assisted systems.

    Shell