Open to opportunities

danlor bautista

@danlorbautista

Message

I build AI-powered healthcare and analytics applications across the full stack.

Philippines

Message

What I'm looking for

I'm looking to build reliable AI-powered and data-driven products where I can contribute across frontend, backend, APIs, databases, and cloud infrastructure while solving meaningful technical problems.

At Oak3 Innovations, I deliver production-ready features for AI-powered healthcare and analytics platforms, with a focus on reliability, scalability, and performance.

I investigate frontend and backend issues through API tracing, debugging, and system analysis, then implement long-term fixes. I've also refactored monolithic frontend architecture into feature-based modules and built reusable components and shared utilities that improve maintainability.

I work across structured and unstructured data, APIs, databases, deployment workflows, and production troubleshooting. My computer science thesis explored tuberculosis early detection through cough analysis using machine learning and received Best in Thesis at Ascent 2025.

Experience

Work history, roles, and key accomplishments

Current

Full-Stack Engineer

Current

Oak3 Innovations

Jul 2025 - Present (1 year 2 months)

Delivered production-ready features across AI-powered healthcare and analytics platforms, ensuring reliability, scalability, and performance. Investigated frontend and backend issues through API tracing and debugging, and collaborated with clients to analyze requirements and provide technical solutions.

React Next.js TypeScript Python fastAPI MongoDB Firestore Docker SQL Stripe AWS Google Cloud Platform

Education

Degrees, certifications, and relevant coursework

Batangas State University - TNEU

Bachelor of Science, Computer Science

2021 - 2025

Activities and societies: Best in Thesis – Ascent 2025

Bachelor of Science in Computer Science degree from Batangas State University - TNEU, awarded Best in Thesis for 'Tuberculosis Early Detection through Cough Analysis using Machine Learning'.