SaaS Platforms
Internal and customer-facing systems built for operational clarity, modular growth, and reliable delivery.
Jorge Rosal Jr.
Senior Full-Stack Engineer
SaaS Systems Builder & Project Manager
Senior full-stack engineer building SaaS systems, agentic AI workflows, and data-driven platforms with measurable operational impact.
I build production systems that improve visibility, remove manual work, and support better decisions. My background spans API integrations, analytics platforms, agentic AI pipelines, AWS-backed services, and technical delivery leadership across internal SaaS and operational software.
Focus
SaaS platforms, analytics systems, automation pipelines
Strength
Architecture thinking paired with hands-on delivery
Recent edge
Agentic AI systems, LLM orchestration, and AI-assisted delivery
Senior Profile
Jorge Rosal Jr.
Available to connect
Full-stack engineering, automation architecture, analytics systems, and technical delivery leadership.
Builds software with a strong business-impact lens.
Comfortable across architecture, implementation, and team execution.
Focused on systems that improve visibility, throughput, and reliability.
What I Build
Engineering systems that improve operations, visibility, and scale.
A concise view of the work areas that have defined my recent experience across SaaS delivery, automation, and data-rich software.
Automation Systems
Workflow engines, RPA pipelines, and n8n-based automations that remove repetitive tasks and improve team throughput at scale.
Analytics & API Integrations
API-driven platforms, reporting layers, and product data systems designed for decision-making and business visibility.
AI & Agentic Systems
LLM-orchestrated workflows and agentic pipelines that make intelligent decisions, call external tools, and automate complex multi-step operations.
About
A systems-minded engineer focused on dependable delivery and operational clarity.
I design and deliver software systems that solve operational problems clearly and reliably. My work spans full-stack engineering, automation architecture, agentic AI workflows, analytics tooling, and delivery leadership — with a consistent focus on turning business complexity into maintainable systems built with Node.js, React, SQL, cloud infrastructure, and LLM-powered automation.
Working Style
My approach combines architecture thinking, hands-on delivery, and project ownership. I work comfortably across product and operational contexts, whether the challenge is integrating external APIs, designing reporting systems, or removing manual work through automation.
Currently focused on senior engineering and systems roles — including teams building with LLMs, agentic workflows, and modern full-stack infrastructure — where architecture clarity, execution speed, and business impact matter.
Current Direction
After a purposeful period of full-time field missionary work from September 2023 to January 2026, I am now re-engaging with software and systems development with strong engineering fundamentals, architecture experience, and an AI-assisted workflow that accelerates implementation and delivery.
Beyond Work
A small personal note
Outside of engineering, I'm a furparent, and my dogs have been beside me through long coding sessions since well before "vibe coding" became a buzzword.
Experience
Experience shaped by software delivery, systems design, and operational execution.
The emphasis throughout these roles is consistent: production systems, measurable efficiency gains, and ownership across architecture, implementation, and delivery.
Career Break
Purposeful transitionField Missionary Work
Took a purposeful career break for full-time field missionary work, helping people learn about the Bible in the Philippines and Hong Kong while further developing communication, discipline, empathy, and community engagement.
September 2023-January 2026
Now returning to software and systems work with core engineering fundamentals, architecture experience, and systems thinking intact.
Using modern AI-assisted workflows to accelerate implementation, iteration, and delivery while building on prior full-stack and automation experience.
Amazon
Software Developer
Worked on product advertising infrastructure, combining integration engineering, backend service design, analytics schema planning, and AWS operations.
2021-2023
Built and published a production NPM package integrating Amazon Product Advertising API 5.0.
Designed RESTful API structures and modular Node.js services for maintainable backend workflows.
Modeled relational SQL schemas for scalable product analytics and reporting.
Deployed and maintained AWS-based infrastructure supporting production services.
Channel Precision
Senior Software Developer & Project Manager
Led full-stack delivery for internal SaaS systems spanning dashboards, integrations, reporting, and operational automation across hybrid teams.
2017-2021
Led development of internal SaaS platforms using React, Vue, Node.js, and SQL-backed architectures.
Built analytics dashboards integrating sales, inventory, and advertising data into unified operational views.
Designed backend API architecture, integration layers, and relational schemas for multi-source reporting.
Built automation pipelines processing 100,000+ records and reduced manual data processing time by 70%.
Coordinated hybrid engineering teams and owned technical execution from planning through delivery.
Outdoor Equipped
Senior Project Manager
Owned delivery operations across internal and outsourced teams, with a focus on automation, inventory workflows, and scalable execution practices.
2015-2021
Led Agile sprint planning, backlog prioritization, and technical execution across hybrid teams.
Designed scalable inventory and listing automation systems supporting product lifecycle workflows.
Built internal reporting tools and process improvements across operations.
Delivered robotic process automation that reduced manual processing time by 80%.
Skills
A practical stack for delivering full product systems.
Grouped by capability for faster review by recruiters, hiring managers, and teams evaluating architecture depth and delivery range.
Frontend
JavaScript · Angular · React · Vue · HTML · CSS
Backend
Node.js · RESTful API design · Modular service architecture
Databases
SQL · Relational schema architecture · MongoDB
Cloud
AWS · Google Cloud · Azure
Systems & Tools
Workflow automation · Analytics dashboards · Data processing pipelines · GitHub · Jira · NPM
AI & Agentic Systems
LLM orchestration · Agentic workflow design · Tool use & function calling · n8n automation · AI-assisted development · Prompt engineering
Selected Work
Representative case studies based on production experience.
A focused view of API integrations, internal SaaS systems, analytics platforms, and automation-heavy operational tooling. Each case study is framed to show the system, the problem it addressed, and the business value it created.
API integration tooling
Amazon Product Advertising API Integration
Amazon Product Advertising API Integration for Node.js Developers
dashboard view
Product view
Dashboard mockup
screenshot
System
API wrapper + service integration
Delivery
Published npm package
Primary signal
Faster partner implementation
Summary
Developed and published a Node.js module wrapper for Amazon Product Advertising API workflows, then supported real-world integrations for advertisers and developers building custom product tools, catalog workflows, and related automation.
Scope
This work combined developer tooling with practical production integration support, helping technical teams use Amazon product data more effectively inside internal tools and custom workflows.
Outcome
Improved developer usability for Amazon PA API integrations and enabled faster implementation across custom internal tools and advertiser workflows.
Stack
Node.jsAmazon Product Advertising APINPMREST API patternsAWSElastic BeanstalkEC2
Analytics SaaS platform
Multi-Source Analytics Dashboard Platform
Internal Decision-Support SaaS for FBA Inventory and Business Insights
Internal Platform
Multi-source analytics
1M+ records processed
Data Sources
Sales
Inventory
Advertising
Processing Layer
Rules Engine
+
Micro-workers
criteria-based automation • ML-assisted classification • background jobs
Decision Support View
Visibility
unified reporting
Scale
AWS-backed jobs
Outcome
faster decisions
System
Internal analytics command center
Scale
1M+ records processed
Primary signal
Unified business visibility
Summary
Designed and helped build an internal analytics platform that consolidated multi-source operational data into a single decision-support system for FBA inventory management and business insights.
Scope
Built as a scalable internal platform processing more than 1 million records. Before modern AI-assisted workflows became common, the system relied on programmatic rules, criteria-based automation, machine learning, analytics pipelines, and distributed micro-workers to execute background tasks reliably.
Outcome
Processed 1M+ records, improved business visibility across inventory and operational data, and reduced fragmented reporting and manual analysis.
Stack
Node.jsReactVueSQLMongoDBAWSElastic BeanstalkEC2Background workersMachine learningAnalytics pipelines
Automation pipeline
High-Volume Workflow Automation Pipeline
MAP Price Monitoring and Enforcement Automation
System
Distributed monitoring pipeline
Scale
10,000+ checks per day
Primary signal
Massive throughput gains
Summary
Built a high-volume automation pipeline for MAP price monitoring and enforcement workflows using headless browser automation, rotating proxies, and distributed Node.js workers.
Scope
This was a pre-AI automation system designed to replace manually intensive digital investigation work at operational scale. The platform automated Amazon-focused monitoring workflows using browser automation, scraping infrastructure, and micro-worker orchestration.
Outcome
Increased daily processing from roughly 50 manual investigations to 10,000+ automated checks, dramatically improving throughput and reducing repetitive manual work.
Stack
Node.jsWeb scraping toolsHeadless browser automationScraperAPIDistributed micro-workersAutomation pipelinesAWSEC2
RPA operations system
Robotic Process Automation for Multi-Channel Order Operations
High-Volume Back-Office Automation Before the AI Automation Era
System
RPA workflows + worker threads
Delivery
Order ops automation
Primary signal
Higher speed and consistency
Summary
Developed robotic process automation workflows using WinAutomation and custom multi-threaded worker logic to automate high-volume back-office tasks across multiple sales and order channels.
Scope
A key use case included automating repetitive order-entry workflows into supplier and B2B systems for dropshipping operations tied to Amazon order fulfillment. The system relied on structured workflow logic, automation rules, and concurrent workers rather than LLM-based automation.
Outcome
Automated tens of thousands of repetitive entries, improved speed and consistency across order operations, and reduced reliance on manual back-office processing.
Stack
WinAutomationRobotic Process AutomationNode.js workersMulti-threaded processingWorkflow automationAWSEC2
Contact
Open to senior engineering, systems, and technical delivery conversations.
If you need someone who can move between architecture, implementation, automation, and business-aware execution, reach out directly. I am open to conversations with recruiters, founders, hiring managers, and engineering leaders.