Alfred Santos III
Online • Portfolio Assistant
Backend Engineer & Aspiring ML/AI Engineer
I build backend and AI systems that feel practical, reliable, and easy to work with— from APIs and data pipelines to RAG assistants and IoT backends.
Python
Java
Flask
FastAPI
Django
Postman
PostgreSQL
Supabase
Firebase
MongoDB
Docker
Git
GitHub
DBeaver
Anaconda
Jupyter Notebook
Google Colab
Amazon Web Services (AWS)
Google Cloud Platform (GCP)
Render
Cloudflare
Railway
Based in Malabon, Metro Manila (open to remote and flexible opportunities).
Retrieval-Augmented Generation (RAG) system that powers Alfredo's AI assistant for portfolio and knowledge queries. It uses Gemini AI both for generating text embeddings and as the Large Language Model (LLM) for final responses, with embeddings stored and retrieved from Pinecone as the vector database. The architecture follows a data ingestion → embedding → vector storage → retrieval → LLM response pipeline, deployed as an API on AWS Elastic Beanstalk (PaaS). Designed for real-world use cases such as knowledge retrieval, document querying, AI-assisted research, and personal productivity.
Retrieval-Augmented Generation (RAG), Gemini AI (LLM & embeddings), Pinecone, AWS Elastic Beanstalk, REST API
An intelligent aquarium monitoring system that tracks pH, temperature, and turbidity parameters. Features real-time telemetry, automated feeding schedules, AI-powered notifications, and an interactive chatbot for aquarium management.
Python, Flask, Firebase, Machine Learning, APScheduler
View RepositoryA dedicated data processing pipeline for AquaCare's machine learning systems. Automates extraction, cleaning, and transformation of water-care data for accurate predictions and analytics.
Python, ETL, Data Processing
View RepositoryAutomated pet monitoring and feeding system with FastAPI. Features automated food/water dispensing, computer vision (YOLO) for pet detection, and Firebase Cloud Messaging for notifications.
FastAPI, Computer Vision, Firebase, YOLO
View RepositoryFlask-based application for automatic license plate recognition. Detects license plates, reads text, identifies car models, and determines vehicle colors using AI and OCR.
Flask, AI, OCR, Firebase
View RepositoryIoT backend system for Raspberry Pi aquarium monitoring. Features live video streaming, sensor monitoring, and automated control capabilities as part of the AquaCare ecosystem.
FastAPI, Raspberry Pi, IoT, Real-time Monitoring
View RepositoryMachine learning pipeline for predicting water quality metrics in aquariums. Uses Random Forest multi-output regressor to forecast pH, temperature, and turbidity.
Machine Learning, Random Forest, Python, Supabase
View RepositoryPython script for cleaning and organizing Netflix Movies and TV Shows dataset. Separates content, handles missing values, and formats columns for analysis.
Python, Data Cleaning, Pandas
View RepositoryUser-friendly desktop application for converting PDF files to Word documents (.docx format) with a clean graphical interface.
Python, GUI, File Conversion
View RepositoryFastAPI web application for downloading YouTube video audio in .m4a format without requiring FFmpeg installation.
FastAPI, YouTube DL, Audio Conversion
View Repository
Completed comprehensive training in Java programming with emphasis on object-oriented design and algorithmic problem-solving. Covered core and advanced OOP principles (encapsulation, inheritance, polymorphism, abstraction), data structures and algorithms, control flow optimization, modular program design, and debugging practices. Developed the ability to write efficient, maintainable, and scalable Java applications aligned with industry standards.
National certification demonstrating competency in Java programming, object-oriented principles, and software development fundamentals, validated through TESDA's national skills assessment.
Certified in the advanced application of Gemini generative AI, with demonstrated expertise in prompt engineering, AI-assisted workflows, reasoning optimization, and responsible AI deployment. Proficient in leveraging Gemini for automation, content intelligence, analysis, and productivity acceleration, showcasing strong applied understanding of modern AI systems.
Completed an introductory course on Generative AI using AWS services. Learned core concepts of generative AI, practical use cases, and how AWS cloud technologies support AI-driven solutions, innovation, and scalable application development.
Completed training focused on essential Microsoft 365 tools, including productivity, collaboration, and digital workflow optimization. Gained practical skills in leveraging Microsoft applications for professional and organizational efficiency.
Awarded for outstanding academic performance with a General Weighted Average (GWA) of 1.34 during the 2nd Semester, S.Y. 2023–2024. Demonstrated continuous improvement and high academic standing.
Awarded for outstanding academic performance with a General Weighted Average (GWA) of 1.45 during the 1st Semester, S.Y. 2023–2024. Recognized for consistent excellence, discipline, and dedication to academic achievement.