Building practical AI-powered systems

Arjay Escabas

AI Application Developer / AI Engineer

I design and build AI-powered applications, automation systems, crawling tools, auditing workflows, and data-driven products where AI is part of the actual system logic - not just a coding shortcut.

Practical experience2+ years
Core focusAI-powered applications
SystemsAutomation systems
ExecutionFull-stack execution
AE
Workflow logic
System integration
Introduction

About Me

I am an AI Application Developer focused on building useful systems through full-stack development, AI integration, automation, and clean interface design. My work involves connecting data sources, integrating AI models or bots, processing outputs, and turning them into practical product features. I use AI-assisted development tools for coding, debugging, prototyping, documentation, and learning, but I do not treat AI as a replacement for engineering judgment.

1

Product-focused systems

"I build applications where AI, data, backend logic, and interface flows work together as part of the product."

2

Engineering responsibility

"I use AI-assisted development for coding, debugging, prototyping, documentation, and learning without giving up system ownership."

3

Practical execution

"I stay responsible for system design, code quality, debugging, integrations, and product functionality."

I build practical AI-powered systems through reliable implementation, automation workflows, and clear product thinking.

Capabilities

Expertise

A practical mix of AI product work, migration tooling, auditing systems, automation workflows, and full-stack implementation.

  • AI application development

    • Gemini API
    • LLM integration
    • AI agents
    • Prompt engineering
    • Decision-support systems

  • Automation & crawling

    • Web scraping
    • Browser automation
    • Puppeteer
    • Browsershot
    • Crawling workflows
    • Auditing systems
    • Validation workflows

  • Full-stack development

    • TypeScript
    • React
    • Next.js
    • Vue 3
    • Laravel
    • FastAPI
    • Node.js

  • Data & infrastructure

    • PostgreSQL
    • Supabase
    • Redis
    • Cloudflare R2

  • Design & product execution

    • UI/UX implementation
    • Figma
    • Responsive layouts
    • shadcn/ui
Professional path

Experience

Recent work centered on practical product building, AI workflows, automation systems, and clean implementation.

  • 2024 – 2026

    AI Application Developer / Automation Builder

    Built AI-powered application concepts, automation workflows, crawling/auditing systems, and backend-driven data tools.

    • Designed workflows where AI supports automation, prediction, analysis, validation, or decision support.
    • Used AI-assisted development tools while maintaining responsibility for system design, debugging, code quality, and product functionality.
    • Worked across full-stack implementation, APIs, databases, and deployment planning.
  • 2024 – 2026

    Full-Stack Automation & System Developer

    Developed full-stack systems involving database workflows, backend APIs, frontend dashboards, and automated processing pipelines.

    • Worked with SQL migration, browser automation, data extraction, validation, cloud storage, and deployment workflows.
    • Used documentation-first planning and modular architecture to support safer implementation and maintainability.
    • Built processing flows for validation, auditing, export handling, and structured data review.
  • 2023 – 2024

    UI/UX and Web Implementation Practice

    Designed and implemented responsive interfaces, component-based layouts, and clean user flows.

    • Used Figma-inspired layouts, Tailwind CSS, reusable frontend structure, and product workflow planning.
    • Focused on usability, clarity, and practical product execution.
    • Translated interface ideas into maintainable frontend systems.
Core technologies

Build stack

Core technologies I use to build, connect, and ship AI-powered systems, migration tooling, and modern web products.

  • Frontend

    • Next.js
    • React
    • Vue 3
    • TypeScript
    • Tailwind CSS
    • Inertia.js
    • shadcn/ui

  • Backend

    • Laravel
    • FastAPI
    • Node.js
    • Hono
    • REST APIs
    • WebSockets
    • Webhooks

  • Data

    • PostgreSQL
    • Supabase
    • Redis

  • AI & automation

    • Gemini API
    • AI agents
    • Prompt engineering
    • Puppeteer
    • Browsershot
    • Workflow automation
AI workflow

AI Application Development

How I approach AI as part of the product, workflow, and system logic.

AI in product
workflows

Building systems where AI supports product actions, structured automation, and useful workflow outcomes.

Workflow-focused systems

  • AI-powered workflows

    Designing workflows where AI supports product actions such as schema explanation, anomaly review, auditing, analysis, prediction support, and decision assistance.

    • Analysis
    • Validation

  • Intelligent bots

    Building bots and agent-style workflows that gather, process, classify, or act on structured and unstructured data.

    • Bots
    • Agents

  • Crawling and auditing systems

    Creating systems that inspect repositories, infrastructure, websites, and assets through browser automation and structured review workflows.

    • Crawling
    • Auditing

  • Prediction and signal workflows

    Connecting multi-source inputs with AI-assisted analysis and algorithmic fallbacks to support analytical workflows without overclaiming outcomes.

    • Signals
    • Forecasting

  • AI-assisted development

    Using AI agents and CLI tools to improve coding, debugging, documentation, and iteration while keeping engineering responsibility with me.

    • Coding
    • Quality

    • AI is part of the product logic, while engineering judgment stays with me.

    Tooling

    Tools I work with

    Supporting tools I use for development, AI-assisted work, design, and day-to-day execution.

    • Development

      • GitHub
      • Docker
      • Postman
      • VS Code
      • Antigravity

    • AI Agents

      • ChatGPT
      • Gemini CLI
      • Codex CLI
      • Claude

    • Design

      • Figma
      • Canva

    • Productivity

      • Google Workspace
      • Notion
    Selected work

    Projects

    Selected work focused on migration safety, AI-assisted auditing, and modular system workflows.

    • Project 1
      Data migration / AI-assisted validation platform
      Active case study

      SQAuto

      Industrial-grade SQL dump migration platform for restoring, profiling, cleaning, repairing, validating, and exporting legacy database data through a safe staging-first workflow with modular processing stages.

      Next.jsFastAPIPostgreSQLPolarsRedisGeminiSQLGlotData validation
      • Read-only source dump and staging-only transformations
      • AI-assisted schema explanations, mapping suggestions, and anomaly detection
      • Relationship repair, validation reports, and modular export pipelines
      • PostgreSQL, MySQL, SQLite, Excel, and clean SQL export workflows
      View Repository
    • Project 2
      AI forensics / Security auditing system
      Active case study

      LumeCore

      AI-powered forensic and security ecosystem for auditing codebases, infrastructure, digital assets, and transfer readiness through a modular architecture built for complex review workflows.

      LaravelVueGeminiPostgreSQLpgvectorPuppeteerFilamentMeilisearch
      • Repository, infrastructure, DNS, SSL, and security header auditing
      • Gemini-powered config analysis, audit summaries, and insight workflows
      • Browser-based forensic checks using Puppeteer and Browsershot
      • CloudVault asset management with pgvector-based search direction
      View Repository
    • Project 3
      Creative platform / AI-ready web system
      Active case study

      Atelier

      Premium creative directory and operating system for creatives, built around image-forward discovery, public profiles, booking workflows, private pricing, Vault assets, payments, and future AI-assisted workflows.

      Next.jsTypeScriptSupabasePrismaCloudflare R2PayMongoAI-ready
      • Public creative discovery and nickname-based profile routing
      • Booking lifecycle with deposit and delivery workflow direction
      • Cloudflare R2 Vault for project assets and deliverables
      • AI-ready architecture with scalable workflow planning
      View Repository
    • Project 4
      AI prediction / Market intelligence
      Experimental concept

      Kairos

      Experimental AI-assisted market intelligence and stochastic prediction system using multi-source signals, Gemini-assisted analysis, Monte Carlo simulations, websocket price streams, and committee-style decision workflows.

      PythonFastAPITypeScriptHonoGeminiRedisSupabaseVue
      • Multi-source scraper and market context pipeline
      • Monte Carlo simulation service for stochastic forecasting
      • Gemini-assisted committee model with algorithmic fallback
      • Experimental analytical system only, not financial advice
      View Repository
    Get in touch

    Got a workflow? Let’s automate it.

    Reach out through the platforms below if you want to discuss AI-powered products, automation workflows, system development, or practical implementation work.

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    © 2026 Arjay Escabas | AI Application Developer Portfolio