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About Me

I am a professional software developer with a unique blend of industrial systems expertise and modern AI-driven development practices. Over the past +20 years, I've designed and maintained robust, high-throughput systems for logistics, asset management, and RFID technologies.

My philosophy is simple: "I like to build things that are maintainable and built to last."

The AI-Driven Developer

I am a conscientious user of AI-Driven Development (AIDD) and Agent-Assisted Development. I leverage AI tools not just for code generation, but for:

  • Accelerated Prototyping: Rapidly building and testing architectural concepts.
  • Code Quality & Testing: Generating comprehensive test suites (TDD) and refactoring legacy code with AI assistance.
  • Documentation & Knowledge Management: Automating the creation of detailed technical documentation and system diagrams.
  • Workflow Automation: Building custom agents to handle repetitive development tasks, CI/CD pipelines, and deployment scripts.

I believe AI is a force multiplier for experienced developers, allowing us to focus on high-level architecture and problem-solving while AI handles the implementation details.

My Beliefs

  • Human-in-the-Loop: I believe in the "Man in the Middle" aspect of AI development. AI is a powerful tool, but human oversight is essential for quality, ethics, and context.
  • Security & Reliability: I advocate for using private LM models to maintain data security and reliability, especially in industrial and enterprise environments.

Focus Areas

  1. Decoupling Bottlenecks: Designing architectures that remove departmental dependencies, allowing work to flow without administrative friction.
  2. Infrastructure for Developers: Implementing strongly-typed APIs, automated OpenAPI connectors, and DTO typing so frontend and mobile developers can build against the backend with 100% confidence.
  3. Maintainability over Micro-optimization: Prioritizing readability and thorough documentation over negligible speed gains. Clear, maintainable code provides more long-term value than complex, "clever" optimizations.
  4. Hardware-to-Software Synergy: Creating native bridges between industrial hardware (Data Collectors, Zebra printers) and modern cloud APIs to make the "last mile" of logistics invisible to the user.
  5. Reliability at Scale: Leveraging TDD, integration testing, and high-coverage suites to ensure that every system remains stable as the organization scales.

Looking For

I'm targeting Senior Backend Engineer, Full-Stack Developer, or Technical Lead roles in:

  • Logistics & Supply Chain Tech
  • Industrial IoT & Hardware Integration
  • Enterprise SaaS & ERP Systems
  • Healthcare Technology

I thrive in teams that value TDD, clean architecture, AI-assisted workflows, and long-term maintainability over quick hacks.

How I Work

  • TDD-First: I write tests before code. Always.
  • AI-Augmented: I use AI tools to accelerate development, improve code quality, and automate repetitive tasks.
  • Documentation-Driven: If it's not documented, it doesn't exist.
  • Collaborative: I believe the best solutions come from cross-functional teams.
  • Long-Term Thinker: I optimize for maintainability, not short-term speed.

Professional Origin Story

My journey began in 2003 with Apitrack History, followed by building a custom Warehouse Management System (WMS) for an apparel factory in 2008. What started as a solution for a specific problem evolved into a product used by multiple enterprises. This experience, spanning over 20 years, taught me the importance of scalability, reliability, and user-centric design in industrial software.

I've since expanded my expertise to include asset management, SAP integration, mobile development, and cloud-native architectures. I've maintained and evolved these systems for over a decade, learning how to balance legacy constraints with modern development practices.

Now, I'm focused on leveraging AI-driven development to build the next generation of industrial software—faster, smarter, and more maintainable than ever before.