Alisandro N. Domingo
About Me
Meet the developer behind the code.
Alisandro N. Domingo
Makati City, Metro Manila
Hi! I'm Ali, a third-year CS student at Mapúa University. I'm always on the lookout for new problems to tackle and ways to use my skills to solve them!
Focus Areas
Background
2010 – 2021
Divine Light Academy
Molino Campus · Grades 8–10 with Honors
2021 – 2023
Mapúa University — Senior High
Grade 11 with Honors · Grade 12 with High Honors
2023 – Present
Mapúa University
BS Computer Science (AI) · Expected Sep 2026 · GWA 1.79
Skills
A focused stack across programming, web development, and machine learning for building end-to-end software solutions.
Python
Core language for scripting, data workflows, and AI projects.
Java
Object-oriented programming and foundational software design.
C++
Performance-focused programming and algorithmic problem-solving.
Programming
Python, JavaScript, C++, and Java for end-to-end software solutions.
React
Component-based interfaces with modern reusable patterns.
CSS
Responsive styling and polished UI presentation.
Web Development
Modern frontend fundamentals centered on React, HTML, and CSS.
Computer Vision
Image-based models and classification tasks.
NLP
Language-focused pipelines and model experimentation.
Pandas & NumPy
Data manipulation and numerical analysis for model workflows.
Scikit-learn
Classical ML modeling and evaluation.
TensorFlow & PyTorch
Deep learning model training and iteration.
Computer Vision
Image-based models and classification tasks.
NLP
Language-focused pipelines and model experimentation.
Pandas & NumPy
Data manipulation and numerical analysis for model workflows.
Scikit-learn
Classical ML modeling and evaluation.
TensorFlow & PyTorch
Deep learning model training and iteration.
Computer Vision
Image-based models and classification tasks.
NLP
Language-focused pipelines and model experimentation.
Pandas & NumPy
Data manipulation and numerical analysis for model workflows.
Scikit-learn
Classical ML modeling and evaluation.
TensorFlow & PyTorch
Deep learning model training and iteration.
Computer Vision
Image-based models and classification tasks.
NLP
Language-focused pipelines and model experimentation.
Pandas & NumPy
Data manipulation and numerical analysis for model workflows.
Scikit-learn
Classical ML modeling and evaluation.
TensorFlow & PyTorch
Deep learning model training and iteration.
Computer Vision
Image-based models and classification tasks.
NLP
Language-focused pipelines and model experimentation.
Pandas & NumPy
Data manipulation and numerical analysis for model workflows.
Scikit-learn
Classical ML modeling and evaluation.
TensorFlow & PyTorch
Deep learning model training and iteration.
Computer Vision
Image-based models and classification tasks.
NLP
Language-focused pipelines and model experimentation.
Pandas & NumPy
Data manipulation and numerical analysis for model workflows.
Scikit-learn
Classical ML modeling and evaluation.
TensorFlow & PyTorch
Deep learning model training and iteration.
Computer Vision
Image-based models and classification tasks.
NLP
Language-focused pipelines and model experimentation.
Pandas & NumPy
Data manipulation and numerical analysis for model workflows.
Scikit-learn
Classical ML modeling and evaluation.
TensorFlow & PyTorch
Deep learning model training and iteration.
Computer Vision
Image-based models and classification tasks.
NLP
Language-focused pipelines and model experimentation.
Pandas & NumPy
Data manipulation and numerical analysis for model workflows.
Scikit-learn
Classical ML modeling and evaluation.
TensorFlow & PyTorch
Deep learning model training and iteration.
Machine Learning
From classical ML to deep learning across CV and NLP tasks.
Tools
Tooling stack built around Figma, GitHub, VS Code, Supabase, Vercel, and LangChain.
Projects
Selected projects spanning AI applications, full-stack platforms, and public-sector systems.
StockTrack
AI-driven inventory and demand forecasting platform with user/admin dashboards, built with React and forecasting models to improve stock planning decisions.
AI Legal Assistant
RAG-based assistant for Philippine Labor Code queries, benchmarking Llama 3.1, Qwen 2.5, and Gemma 2 for legal-response quality and speed. Built with a Python notebook using the official Labor Code PDF, published on Hugging Face. Forthcoming IEEE conference paper (Malaysia, May 2026).
Barkstay
Full-stack pet services platform with real-time updates, secure authentication, and payment processing using JavaScript, Supabase, and MongoDB.
Barangay 881 System
Web-based administrative system that digitizes local government workflows and streamlines records and frontline barangay service operations, developed in coordination with official barangay personnel.
Tomato Disease Detection
YOLOv12 instance segmentation model for tomato leaf diseases, fine-tuned on a custom dataset to support accurate agricultural disease analysis. Deployed on Streamlit.
Certificates
Professional certifications and training credentials.
Introduction to Computer Science and Programming
University of London
Cyber-Physical Systems: Modeling and Simulation
University of California, Santa Cruz
Data Warehouse Concepts, Design, and Data Integration
University of Colorado System
Introduction to Data Science in Python
University of Michigan
Engineering Practices for Building Quality Software
University of Minnesota
Contact
Feel free to connect for collaboration opportunities, project discussions, or academic and industry partnerships.