AI Engineer · Full-Stack Developer
Aloysius
Full-Stack Engineer building intelligent systems, AI infrastructure, and research-driven software products.
I design and build intelligent systems combining machine learning, scalable backend infrastructure, and thoughtful product design.
Core Skills
Technical Depth
Strong emphasis on machine learning systems, backend engineering, and production-ready frontend architecture.
Backend
Frontend
Tools
Featured
Projects
Engineering projects demonstrating machine learning depth, product strategy, and full-stack execution.
Multimodal Scam Detection System
Deep learning system for detecting scams on social media using text, image, and behavioral metadata. Combines transformer encoders with multimodal fusion techniques.
- multimodal learning
- state-of-the-art architecture
- research-driven implementation
Mindful Moments
A productivity reflection tool for students and researchers to track progress and maintain mindful engagement during deep work.
- UX-driven design
- productivity-focused workflow
Research
Applied AI Research
Academic and experimental work focused on multimodal deep learning and production-oriented machine learning systems.
Multimodal Deep Learning for Scam Detection
Research exploring multimodal transformer architectures for identifying fraudulent content on social media platforms.
Blog
Technical Notes
Short posts about AI engineering, software systems, and product-minded development.
Feb 20, 2026
Designing Reliable Multimodal Pipelines
Practical notes on building robust multimodal systems that balance model quality, latency, and maintainability.
Jan 14, 2026
Agentic Workflows for Document Automation
How structured prompting and task decomposition improve quality in AI-driven document generation workflows.
Dec 8, 2025
Product Thinking for Engineering Teams
A concise framework for shipping technical systems that are useful, measurable, and easy to iterate on.