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naufalhakim23/README.md

Hi 👋, I'm Naufal Al-Hakim

Disbursement Whisperer | Backend Chaos Coordinator | 🐹 Gopher Enthusiast | 🧠 AI Fanboy

Experience

  • Former Lead of transactional recalibration and asynchronous disbursement orchestration within high-throughput aquatic economic infrastructures (eFishery, but with more syllables).
  • Pioneered the vertically scalable redundancy matrix for sub-second reconciliation pattern detection, handling annual financial throughput larger than small island nations.
  • Executive Associate of latency annihilation and director of distributed inconsistency optimization in service of goal-oriented system idempotency and casual backend sorcery.
  • Go microservice overlord. Once rewrote a 45s query to 0.8s out of boredom.
  • Most of my magic happens in eFishery’s codebase (Bitbucket + Gitea gang 😭), so GitHub’s green squares lie (except when I write weird stuff). I swear I write code daily.

Currently Learning

  • Structural liquidity synthesis (as it applies to payment disbursement and plant hydration)
  • Telemetry-driven existential dread
  • Reverse-chaotic eventual consistency
  • gRPC-based emotional support systems
  • Rat-based economic modeling
  • Situational data sculpting with SQL and guilt
  • If I write enough PromQL to summon Cthulhu, I’ll use NixOS

🧰 Things I Actually Know

  • Languages: Go (🐐), Python, JavaScript
  • Databases: PostgreSQL, Redis, MySQL (because sometimes reality needs indexing)
  • Pubsubs: Kafka, RabbitMQ (for sending help)
  • Tools: Docker, Kubernetes (containers inside containers like emotional baggage)
  • Observ: Prometheus, Grafana, Jaeger (observability or bust)
  • Frameworks: Microservices, REST APIs, Pub/Subs, and tears
  • ML: AI playgrounds on Colab for when I feel like vibing with 1.5B parameters

🧪 Side Projects That Actually Exist (and worked)

  • 🧬 Deepseek Playground on Colab:
    Just me giving Google Colab the ability to run LLMs like a pro.
    Plug and play with DeepSeek-R1-Distill-Qwen-1.5B like it's 2049.

  • 💧Soil Moisture AI System:
    ML-powered water control for cherry tomatoes. Because feeding tomatoes is more satisfying than feeding logs to ELK. It worked for months, but I unplugged it because the tomato is really tall.

📜 Certifications (to prove I’m not making this up, I have more but dunno where did I put it)

⚡ Quick Hits

  • 🛠 Refactored legacy code → System runs 2x faster
  • 🧩 Built payment infra → Handles 7-figure transactions monthly
  • 🔥 Reduced reconciliation time by 90%
  • 🧠 BSc in Physics → Still confused by Schrödinger’s cat

🤝 Let's Connect (Unless You're a Recruiter Offering “Fun Startups” That Pay in Equity)


Beliefs

  • All systems are distributed systems if you close your eyes
  • If it works in prod, it’s not a bug—it’s folklore
  • Every payment API integration is a cryptid
  • Uptime is a state of mind

"SLA is just a suggestion, unless it's payroll day."
— Naufal, backend guy with frontend emotions

Pinned Loading

  1. naufalhakim-efishery-academy naufalhakim-efishery-academy Public

    Go 10 1

  2. tomato-prediction tomato-prediction Public

    Jupyter Notebook

  3. Medicare-GotongRoyong Medicare-GotongRoyong Public

    Bangkit Capstone Project

    Jupyter Notebook 1 2

  4. deepseek-r1-playground deepseek-r1-playground Public

    This is my playground using google colab to serve some deepseek model so it can be hit by external party (right now i'm using curl and postman).

    Jupyter Notebook 13 5

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