Shah Hadi

Building resilient systems

Automation Engineer

I design automation systems, scalable architectures, and modern full-stack applications focused on clarity and long-term reliability.

About Me

Structured • Scalable • Intentional

I’m a developer focused on building reliable, structured, and scalable systems. My journey began with automation and bot development, where stability, precision, and correctness mattered far more than visuals.

Over time, I expanded into full-stack development, combining strong backend logic with clean, modern interfaces. I enjoy creating systems that feel simple on the surface but are thoughtfully engineered underneath.

I value clarity, performance, and long-term maintainability. Whether it’s automation tooling, web applications, or backend services, my goal is to build solutions that scale gracefully in real-world environments.

Automation-First

Systems that don’t need babysitting.

I design deterministic workflows that recover gracefully from failure, keeping systems stable under unpredictable load.

System Architecture

Clear structure enables scale.

Strong boundaries and predictable data flow allow complexity to grow without harming clarity or maintainability.

Continuous Refinement

Quality improves through iteration.

I focus on internal quality over feature chasing, reducing technical debt while steadily improving performance.

Projects

Systems • Infrastructure • Reliability

  • Automation Pipeline

    System / Automation

  • Distributed Job Scheduler

    Backend Infrastructure

  • High-Throughput Validation Engine

    Backend System

  • Scalable Network Abstraction Layer

    Infrastructure

  • Rate-Limited API Orchestrator

    Backend Infrastructure

  • Configuration & Secrets Management Tooling

    Platform Engineering

  • Observability & Failure Analysis Framework

    Reliability Engineering

Automation Pipeline

Deterministic automation pipeline engineered for reliability under unpredictable workloads.

Design Goals:

  • Execute long-running automation safely
  • Prevent duplicate side effects
  • Maintain predictable system behavior under load

System Design:

  • Tasks move through isolated queues with strict ordering guarantees. Each task carries explicit execution state, bounded retry counts, and exponential backoff rules.

Failures are classified as transient, recoverable, or terminal. This allows retries without reprocessing completed side effects.

    Guarantees:

    • At-most-once side effects
    • Bounded retry behavior
    • Clear terminal failure states

    Trade-offs:

    • The system favors correctness and traceability over maximum throughput.
    PythonAsyncIOQueuesRetry LogicRate Limiting

    Contact

    Entry Points • Communication • Context

    I prefer conversations that are clear, purposeful, and technically grounded. Choose the channel that best matches the nature of your inquiry.

    Direct Conversation

    Best for collaboration, architecture discussions, or long-term work.

    →Send Email

    Response within 24–48 hours

    Professional Network

    For background, experience validation, and professional context.

    →View LinkedIn

    Updated regularly

    Code & Systems

    Explore real projects, architecture decisions, and implementation depth.

    →View GitHub

    Active repositories