Pathfinder | Autonomous Tourism Agent
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Summary
Developed a full-stack AI-powered autonomous tourism agent, leveraging a RAG system and advanced NLP for multilingual query resolution and efficient data processing.
About
Highly analytical and results-driven Computer Engineering student with a strong foundation in AI/ML, computer vision, and full-stack development. Proven ability to design and optimize complex data pipelines, architect AI-powered solutions, and develop robust, scalable applications. Seeking to leverage expertise in machine learning, system architecture, and full-stack development to drive innovation and deliver high-impact technical solutions in a dynamic environment.
Work
Sasquatch
|Lead Developer
Metro Manila, Metro Manila, Philippines
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Summary
Spearheaded the development of a behavior-aware AI coding assistant, focusing on real-time feedback and scalable architecture.
Highlights
Built a behavior-aware AI coding assistant as a VS Code extension, monitoring live coding behavior to provide deterministic inline feedback for syntax, type, and runtime errors.
Engineered local deterministic analysis for immediate feedback on common coding errors, reducing latency below 50ms for enhanced developer experience.
Designed a deterministic-first architecture with clear separation between local analysis and a future AI escalation layer, ensuring scalability and modularity.
Med-ID
|Backend Developer
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Summary
Architected and engineered a hybrid computer vision pipeline for drug label analysis, ensuring high accuracy and data compliance.
Highlights
Architected a hybrid computer vision pipeline integrating PaddleOCR with a custom-trained spaCy NER model, achieving 96% text extraction accuracy on high-noise, low-light medical imagery.
Engineered a verification layer that cross-referenced OCR outputs against the OpenFDA database, ensuring 100% data compliance with safety standards.
Integrated Google Gemini 2.5 API for summarization and semantic analysis, converting raw technical drug data into patient-friendly explanations.
DOST - Advance Science and Technology Institute
|Software Development Intern
Quezon City, Metro Manila, Philippines
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Summary
Led the design and optimization of a modular data processing pipeline for computer vision, improving efficiency and ensuring compliance with government standards.
Highlights
Designed a modular data processing pipeline in Python, reducing manual feature extraction time by 40% for a large-scale computer vision project.
Optimized ML pipelines by replacing arbitrary parameters with ISO-compliant thresholds, ensuring 100% alignment with validated government standards.
Collaborated within an Agile team of 9, integrating React interfaces with ML models and delivering key features 10% ahead of schedule.
Education
Catanduanes State University
Catanduanes, Catanduanes, Philippines
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BS
Computer Engineering
Skills
Programming Languages
Python, SQL, JavaScript, HTML/CSS, C++, TypeScript.
AI/Machine Learning
TensorFlow, PyTorch, Keras, OpenCV, pandas, RAG Systems, AI Agent Orchestration, Autonomous Systems, Computer Vision, Natural Language Processing, Semantic Analysis, NER Models.
Web Development
React, Vue, FastAPI, React.js, Vue.js, Vite, Full-Stack Development.
Databases
PostgreSQL, ChromaDB, SQLite, MySQL.
Tools & Platforms
Git, GitHub, Docker, Raspberry Pi, VS Code Extension Development, PaddleOCR, Google Gemini API, OpenFDA Database.
Methodologies & Architecture
Agile Development, System Architecture, Modular Design, Data Processing Pipelines, Deterministic-first Architecture, Problem Solving, Cross-functional Collaboration.
Interests
Professional Interests
AI Agent Orchestration, Autonomous Systems, Web Development.