hello world!
I'm Stanley, and I dabble in full-stack development, ai & automations!
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John Stanley Altonaga
Summary
Based in the Philippines, I'm a computer science graduate at Silliman University, building at the intersection of web development, automation, and AI.
My focus today is on generative and agentic AI, and on designing multi-pipeline systems where data, models, and automation click together like puzzle pieces.
I'm passionate about turning ideas into real-world solutions, earning recognition in regional and provincial hackathons.
Outside of code, I'm drawn to neuroscience and the future of brain-computer interfaces. Off the clock, I'm more or less rotting in video games
Tech Stack
Web & Backend
- Next.js (React)Core
- TypeScript
- Tailwind
- Node.js (Express)
- FastAPI/Flask
- MongoDB
- Firebase
- Supabase
AI & Automation
- PythonCore
- OpenAI
- LangChain
- n8n
- RAG
- PyTorch
Cloud & Tools
- AWS (EC2/S3/Lambda/API Gateway)
- Docker
- Git
- Google Apps Script
- WordPress
- C/C++, Java, PHP
Experience
AI Automation Engineer (Project-Based) @ Mun. of Sta. Rosa
Nov 2025 - Present
- Architected LLM-driven automation pipelines with n8n, OpenAI, and vector embeddings that improved throughput by 60% and reduced latency from 2 minutes to 2 seconds.
- Reduced token usage, inference latency, and operational cost by redesigning workflows around embedding-based reuse while maintaining high classification accuracy.
Awards & Recognition
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2024Machine learning application for early Alzheimer's detection using CNN models. Built with PyTorch for accurate image analysis and Next.js for a user-friendly interface, helping healthcare professionals with diagnostic support.
