
Arjay Escabas
Building AI-powered software,
automation systems, and modern web applications.
About Me
I am a passionate Full-Stack Web Developer and AI Application Builder focused on building and shipping robust, end-to-end digital products. I studied at University of Mindanao Digos College, where I built a strong foundation in IT and practical software engineering. My work spans full-stack architecture—crafting responsive frontends, building reliable backend APIs, database processing, containerized environments with Docker, and integrating AI workflows and automation into clean, production-ready systems.
Product-focused systems
"I build applications where AI, data, backend logic, and interface flows work together as part of the product."
Engineering responsibility
"I use AI-assisted development for coding, debugging, prototyping, documentation, and learning without giving up system ownership."
Practical execution
"I stay responsible for system design, code quality, debugging, integrations, and product functionality."
Full-Stack Web & Docker
"I take pride in end-to-end web engineering—building solid frontends, resilient APIs, database workflows, and containerized deployments with Docker."
I build practical AI-powered systems through reliable implementation, automation workflows, and clear product thinking.
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
Experience
Recent work centered on practical product building, AI workflows, automation systems, and clean implementation.
- 2024 – 2026
AI Application Developer / Automation Builder
Freelancer
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.
- 2026
Full-Stack Automation & System Developer
Infosoft (Mini Clean Business Solutions)
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 – 2026
Continuous Applied Practice: Tools, UI/UX, AI & Third-Party APIs
Independent Practice & Learning
Continuous hands-on practice exploring modern developer tools, UI/UX design systems, AI integration, and third-party APIs.
- Crafted responsive interfaces, reusable component systems, and Figma-to-code workflows using Tailwind CSS.
- Integrated third-party REST APIs, webhooks, authentication services, and cloud storage providers.
- Continuously learning and experimenting with emerging AI tooling, prompt engineering, and automation workflows.
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 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.
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.
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
Projects
Selected work focused on migration safety, AI-assisted auditing, and modular system workflows.
AI security / Defensive auditing platformActive case studyCipherLens
Enterprise-grade, AI-powered defensive security auditing platform for automated assessments of websites and source code repositories, delivering structured findings, risk prioritization, and Gemini-assisted remediation guidance.
ReactTypeScriptNestJSPythonFastAPIPostgreSQLSupabaseRedisBullMQDocker- Website SSL/TLS, security headers, and exposed endpoint auditing
- Git repository secret scanning, dependency vulnerability checks, and hygiene analysis
- Gemini-powered AI report generation with risk scoring and remediation suggestions
- Containerized microservice architecture deployed on Azure VM with Cloudflare SSL
Creative platform / Service operating systemActive case studyAtelier
Premium creative directory and professional service OS tailored for the Philippine creative economy. A Next.js modular monolith uniting public talent discovery, canonical nickname profiles, private client and creative workspaces, end-to-end booking workflows, Cloudflare R2 media delivery, and PDF invoicing under a single codebase.
Next.js 15React 19TypeScriptPrisma 7PostgreSQLTailwind CSSCloudflare R2PDF-LibDockerTraefik- Searchable public directory and programmatic local SEO routes (/creatives/[service]/[location]) with strict anti-price-war design (no public rates)
- Public creative storefronts with canonical nickname routing (/[nickname]) and JSON-LD ProfessionalService structured data
- Full booking lifecycle engine — inquiry capture, review & conversion, deposit tracking, invoice generator, and on-demand PDF export
- Private media delivery vault powered by Cloudflare R2 with presigned direct browser uploads and secure tokenized client handoffs
- Self-hosted production infrastructure with Docker multi-stage builds, Traefik reverse proxy, and GitHub Actions CI/CD to GHCR
Data migration / AI-assisted validation platformActive case studySQAuto
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
AI career platform / Modular monolithActive case studyAvenor
AI-first career management platform built as a domain-driven modular monolith in Next.js. Integrates Google OAuth, Gmail and Google Calendar APIs, multi-provider AI abstractions (Gemini, OpenAI, Anthropic), structured resume parsing, application tracking, and Docker containerization.
Next.js 16React 19TypeScriptPrismaPostgreSQLTailwind CSSAuth.jsGemini APIDocker- Domain-driven modular monolith architecture with isolated service layers, strict module boundaries, and Prisma ORM
- Multi-provider AI abstraction layer (Gemini, OpenAI, Anthropic) with asynchronous processing and token telemetry
- Automated Google Workspace integrations for Gmail ingestion, calendar scheduling, and OAuth session authentication
- Containerized deployment with multi-stage Docker builds and automated CI/CD pipeline
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.
© 2026 Arjay Escabas | AI Application Developer Portfolio