About
I'm an AI Engineer passionate about building intelligent systems that make a meaningful impact. With expertise in machine learning, deep learning, and software engineering, I specialize in creating AI-powered applications that solve complex real-world problems.
My work spans across various domains including natural language processing, computer vision, and recommendation systems. I enjoy working with cutting-edge technologies and am always excited to tackle new challenges in the rapidly evolving field of artificial intelligence.
When I'm not building AI models or writing code, you can find me exploring the latest research papers, contributing to open-source projects, or sharing knowledge with the developer community.
Technologies & Skills
programming
other
tools
Experience
My journey as an AI Engineer, building intelligent systems and leading technical teams to deliver impactful solutions.
Machine Learning Engineer · Afni Philippines, Inc.
Leading end-to-end AI solution development with focus on Hiring Intelligence platforms and enterprise AI adoption. I spearheaded the development of an innovative Hiring Intelligence platform on Azure, leveraging OpenAI models to revolutionize recruitment processes. My work included designing sophisticated RAG pipelines with FAISS for intelligent resume analysis and automated candidate ranking, significantly accelerating development lifecycles using AI-powered coding assistants. I championed AI adoption across departments by deploying custom Copilots for HR, Recruitment, and Operations, fundamentally transforming how the organization approaches talent acquisition and management.
- Azure OpenAI
- RAG
- FAISS
- Azure Functions
- GitHub Actions
- Copilot Studio
- Google Agent Builder
- Python
Project Manager & Founder · AB AI Consultancy
Founded AI consultancy specializing in LiDAR data processing and computer vision solutions for surveying industry. Building cutting-edge solutions that achieved 95% classification accuracy in LiDAR point cloud processing MVP, fundamentally transforming how surveying data is processed and analyzed. My work reduced client data preprocessing time by 30% and cut manual classification effort by 50%, demonstrating the tangible impact of AI in traditional industries. I spearheaded cross-functional teams to develop AI-powered classification tools that bridge the gap between complex geospatial data and actionable insights for surveying professionals.
- Vue.js
- Django
- Python
- LiDAR
- Point Cloud Processing
- LAS Files
- Computer Vision
Senior Machine Learning Engineer · Universal Access and Systems Solutions, Inc.
Served as internal AI consultant developing enterprise AI solutions and HR automation systems that transformed organizational efficiency. I designed and enhanced the innovative HR AI Assistant (HiR-AIa) using Google Contact Center AI, creating a sophisticated system that integrates internal policy documents for dynamic, context-aware responses. My work involved leading the deployment into HR platforms and communication channels, while establishing comprehensive KPI tracking systems to monitor adoption rates, response accuracy, and overall system performance, ensuring measurable business impact.
- Google Contact Center AI
- Dialogflow CX
- Google Cloud
- AI Assistant
- KPI Analytics
- Python
Machine Learning Engineer · Universal Access and Systems Solutions, Inc.
Developed production-ready AI systems with focus on cost optimization and scalable deployment, demonstrating the power of efficient AI engineering. I built sophisticated RAG pipelines with Pinecone vector database and GPT-4o-mini, achieving remarkable cost efficiency by reducing inference costs by 60% through strategic model selection, prompt optimization, and intelligent caching mechanisms. My work involved containerizing the entire codebase with Docker and deploying on Google Cloud Run, creating a scalable architecture that impressed stakeholders and secured approval for full-scale implementation with high-accuracy proof of concept.
- RAG
- Pinecone
- GPT-4o-mini
- Docker
- Google Cloud Run
- GitHub Actions
- Python
Research Assistant · UP Marine Science Institute
Led groundbreaking marine ecosystem research using computer vision and satellite imagery analysis, pioneering the intersection of AI and marine conservation. I spearheaded the development of coral reef classification models using CNNs, achieving a 15% improvement in accuracy that significantly enhanced marine ecosystem monitoring capabilities. My work involved building comprehensive end-to-end data pipelines for satellite imagery from PlanetScope and Sentinel-2, automating large-scale raster processing with custom Python scripts. I performed sophisticated multi-temporal change detection for marine ecosystem monitoring, contributing valuable insights to understanding and protecting our marine environments through innovative technology applications.
- TensorFlow
- CNN
- Google Earth Engine
- Python
- Satellite Imagery
- Remote Sensing
- QGIS
GIS Specialist · Swinnerton Staten Solutions, Inc.
Specialized in geospatial data processing and GIS analysis for mapping projects, focusing on transforming raw geographic data into actionable insights. I expertly converted scanned maps into clean, usable GIS datasets for comprehensive geospatial analysis, utilizing QGIS to analyze and visualize complex geospatial data that provided critical project insights. My work demanded maintaining the highest accuracy standards for geospatial datasets that were essential for decision-making processes, ensuring that every piece of data met rigorous quality requirements for professional mapping and analysis applications.
- QGIS
- GIS
- Geospatial Analysis
- Data Visualization
- Python
Projects
A collection of projects I've built to solve real-world problems and explore new technologies.
Advanced machine learning platform for automated document processing and analysis. Built with computer vision and NLP techniques to extract insights from unstructured data. Processes over 10,000 documents daily with 95%+ accuracy.
- Python
- TensorFlow
- FastAPI
- React
- PostgreSQL
- Docker
Real-time recommendation system using collaborative filtering and deep learning. Implemented for e-commerce platform with 500K+ users. Increased user engagement by 60% and conversion rates by 35%.
- Python
- PyTorch
- Redis
- Apache Kafka
- MongoDB
- Next.js
Interactive web application for visualizing and understanding neural network architectures. Educational tool that helps students and researchers explore deep learning concepts through interactive 3D visualizations.
- TypeScript
- Three.js
- D3.js
- WebGL
- Vite
- TailwindCSS
Complete MLOps solution for automated model training, validation, and deployment. Includes experiment tracking, model versioning, and automated testing. Used by 50+ data science teams.
- Python
- Kubeflow
- MLflow
- Airflow
- Kubernetes
- AWS
Let's Turn Your Vision Into Reality
From AI-powered applications to creative tech solutions, I help bring innovative ideas to life. Currently available for exciting projects and collaborations.
I typically respond within 24 hours
Thanks for taking the time to explore my work. I look forward to hearing from you and potentially working together on something amazing!