HUMAN CONNECTION. INTELLIGENT SYSTEMS.
Dennis Basadre
Japanese–English Bilingual AI Automation Specialist AI-assisted App Builder
I connect business systems, automate repetitive work, and build practical AI-assisted applications. Bridging technology and people, in English and Japanese.
01 / SELECTED WORK
A deployed business application and focused automation projects. Real work, with clear evidence and honest boundaries.
FLAGSHIP PROJECT v1.0.0
One protected workspace for customer relationships, invoices, employees, and repeatable business workflows. A real, deployed application built with AI-assisted development.
Business records and repeatable processes become difficult to manage across disconnected tools.
CRM, employee management, invoicing, protected documents, workflow scheduling and execution tracking in one authenticated application.
A deployed application supported by synthetic-data demonstrations, isolated tests of signed n8n integration, and documented backup and recovery checks. This case study presents application capabilities and test evidence rather than commercial client results.
I built ABAP using AI-assisted development, combining business requirements, application features, and workflow integration in one project. My work included configuring and testing the application, preparing synthetic-data demonstrations, and documenting deployment, signed n8n integration tests, and backup and recovery procedures.
Architecture overview; it does not imply an active production n8n connection. The Advanced AI Assistant offers selectable models and safe synthetic demonstrations. It does not provide unrestricted free-form chat, live business-record access, or AI-initiated business actions.
Operational foundations: HTTPS, access controls, monitoring, encrypted backups, and verified recovery procedures.
Core application captures: November 3, 2026, using synthetic data in an isolated local environment. AI Assistant: November 5 recorded public-information demo; generated text is illustrative. Light-theme dashboard: November 6 capture from the existing isolated demonstration environment, using synthetic records and the fictional PortfolioAdmin account. Select an image to view it at full size.
Conceptual overview illustration.
n8n / Slack / Job Search API / AI models / Google Drive / Google Docs / Gmail
A workflow connecting Slack job requests, job search, AI-assisted resume preparation and document handling.
Workflow implementation
Searching job listings and adapting a resume involves repeated checks, document updates and notifications.
Connect Slack requests to job retrieval, AI-assisted resume preparation, document updates, Gmail drafts and Slack notifications in one workflow.
Slack request → validate query → job API → process results → AI resume preparation → Drive/Docs → Gmail draft and Slack notification.
The n8n editor demonstrates connected job-search, AI-assisted resume preparation, document and notification steps. Evidence covers workflow design; generated documents and notification delivery remain outside the demonstrated scope.
Conceptual overview illustration.
Make / Gmail / AI / Google Drive / Google Sheets
An attachment-processing scenario connecting Gmail, AI-assisted file naming, Drive storage and a Sheets log.
Workflow implementation
Manually saving, naming and logging email attachments creates repetitive work.
Connect Gmail attachments to AI-assisted file naming, Google Drive storage and a Google Sheets log, with a notification step.
Watch emails → list attachments → upload for analysis → generate filename → upload to Drive → log in Sheets → email notification.
The Make editor shows the attachment-processing sequence and per-module operation indicators, from Gmail intake to file naming, Drive storage and Sheets logging. Scheduling is disabled in this capture; evidence covers the configured scenario rather than confirmed downstream outputs.
Conceptual overview illustration.
Zapier / Google Drive / AI by Zapier / Looping / Paths / Facebook Pages / LinkedIn / Instagram for Business
A Drive-triggered content workflow with AI preparation, conditional social publishing paths and a captured successful-run view.
Recorded successful run
Adapting source content for different channels involves transcription, content preparation and repeated publishing steps.
Connect incoming Drive files to AI transcription and content preparation, then route them through conditional social publishing paths.
New Drive file → filter → AI transcription/content preparation → loop → conditional paths → configured Facebook, LinkedIn and Instagram actions. The recorded run completed one path and skipped the alternative.
Zapier editor views demonstrate file intake, AI content preparation and conditional social publishing paths. A recorded successful run shows one branch completed and the alternative skipped. Evidence is limited to that recorded path; public post contents and business outcomes are outside this case study.
Conceptual overview illustration.
Zapier / Webhooks / Formatter / Apollo / Paths / Google Sheets / Slack / AI by Zapier / Gmail
A lead-processing workflow connecting Apollo enrichment with priority-based routing, records, notifications and an AI draft step.
Workflow implementation
Incoming leads need context and routing before the next follow-up step can be organized.
Combine incoming lead data with Apollo enrichment, then use priority-based paths for records, notifications and AI-assisted draft preparation.
Incoming lead → format company URL → enrichment → priority paths → record/notify/draft actions as configured.
The Zapier editor shows Apollo enrichment, priority-based paths and configured record, notification and AI-draft actions, with an in-use version visible. Evidence covers the workflow configuration; numeric lead scoring, enrichment accuracy and completed outputs are outside the demonstrated scope.
Conceptual overview illustration.
n8n / Gemini / Supabase / Google Drive / Embeddings / Document indexing
A workflow prototype combining document ingestion, vector retrieval and an AI chat-response path.
Workflow implementation
A document assistant needs a way to index source material and retrieve relevant passages for a response.
Prototype document ingestion and indexing from Drive, Supabase retrieval and Gemini-assisted chat responses in n8n.
Document create/update/archive paths → loading and index maintenance; chat trigger → retrieval tool and Gemini model → configured response path.
This n8n prototype demonstrates document-ingestion and indexing paths, Supabase retrieval and a Gemini-assisted response configuration. It is separate from the deployed ABAP AI Assistant. Evidence covers prototype architecture, rather than completed indexing, evaluated chat answers or live business-record access.
Conceptual overview illustration.
Zapier / Asana / Paths / Google Drive / Gmail / Delay / Filters
An Asana-triggered workflow organizing follow-up actions by lead status, with Drive and Gmail steps.
Workflow implementation
Lead follow-up requires different actions as a conversation moves from preparation through quoting and approval.
Use Asana task status to organize conditional folder and task creation, follow-up email actions, delays and checks.
Asana task update → status paths → configured Drive/Asana/Gmail actions, with delays and filters in selected paths.
The Zapier editor views show status-based CRM follow-up paths using Asana, Drive, Gmail, delays and filters. Original warning/step indicators remain visible and their cause is undiagnosed. Evidence covers configuration; paid/closed is a route label, not a verified payment or completed client outcome.
Additional training: n8n, Zapier, and Make. Social marketing and Google Docs template automation are areas of practice; detailed case studies will be published when supporting evidence is available.
02 / HOW I CAN HELP
Practical implementation, shaped around how your business actually works.
n8n, Make, and Zapier workflows for repeatable processes, CRM handoffs, and connected business tools.
Connect systems through APIs and webhooks, with clear validation and traceable execution.
Practical Python and FastAPI applications, AI integrations, PostgreSQL, and Docker-based delivery.
Support Japanese–English communication, translation, project coordination, requirements clarification and clear information sharing.
03 / THE PERSON BEHIND THE BUILD
I’m Dennis Basadre, a Japanese–English bilingual professional focused on practical AI automation and AI-assisted application development.
My background includes working in Japan and Japanese bilingual IT / Bridge SE experience, supported by JLPT N3. I draw on that experience to clarify requirements, coordinate projects and share information between Japanese- and English-speaking teams.
I use AI-assisted development workflows to build and test applications with Python, FastAPI, PostgreSQL, Docker, APIs, and webhooks. ABAP documents this approach through a deployed system and its engineering evidence.
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