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.

AI / ML

PyTorchTensorFlowTransformer ModelsMultimodal LearningComputer Vision

Backend

PythonNode.jsFastAPIREST APIs

Frontend

ReactNext.jsTailwindCSSTypeScript

Tools

DockerGitLinuxCI/CD

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.

PyTorchDeBERTaViTGraph Attention Networks
  • 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.

Next.jsReactTailwind
  • UX-driven design
  • productivity-focused workflow
Explore all projects →

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.

AIMLOpsArchitecture

Jan 14, 2026

Agentic Workflows for Document Automation

How structured prompting and task decomposition improve quality in AI-driven document generation workflows.

LLMsAgentsAutomation

Dec 8, 2025

Product Thinking for Engineering Teams

A concise framework for shipping technical systems that are useful, measurable, and easy to iterate on.

ProductEngineeringExecution