Profile

Full-stack Software Engineer and AI Researcher with experience building evaluation infrastructure for LLM-powered products, multi-agent systems, and full-stack web applications. Currently designing empirical evaluation frameworks for an AI legal research assistant serving 5,000+ PH legal professionals. Builds agentic developer tooling and communicates technical ideas through writing and speaking.

Professional Experience

AI Researcher and Growth Engineer

Anycase.ai
  • Designed and implemented an evaluation framework benchmarking 10+ LLMs (OpenAI, Anthropic) across accuracy, latency, and token efficiency
  • 07/2025 – PresentManila, PH
  • Integrated evaluation pipeline into CI/​CD to detect regressions from configuration changes before they reach production
  • Implement workflows in Posthog using SQL to automatically compute business report metrics, reducing creation time from 40 minutes to 2 minutes
  • Architect and develop a privacy-compliant data pipeline for migrating 200 GB of analytical data between data warehouses using Google Cloud Programming services
  • Developed and implemented an analytics platform for the company website using NextJS, Prisma, and tRPC, resulting in a 40% increase in customer data utilization for informed decision-making.
  • 02/2024 – 06/2024Manila, Philippines
  • Trained machine learning models to forecast product stock quantities with 78% accuracy and developed machine learning pipelines to compute forecasts in 2 seconds.
  • Spearheaded the optimization of the machine learning model deployment pipeline, reducing deployment time from 10 minutes to 1 minute.
  • Software Engineering Intern

    Expedock⁠
  • Spearheaded the automation of microservice deployments using Python and GitHub Actions, boosting developer productivity by 38%. This included integrating notification workflows to streamline communication and enhance team efficiency.
  • 05/2023 – 11/2023Silicon Valley, USA
  • Transformed the user experience through a dashboard redesign based on customer feedback. Leveraging React Typescript, GraphQL, and Flask, successfully reduced information search time from 10 minutes to 6 minutes, enhancing user satisfaction and driving product adoption.
  • Optimized customer data synchronization between different data stores, reducing runtime from 12 minutes to 2 minutes via strategic SQL query optimization using SQLAlchemy. This significantly improved data pipeline efficiency and facilitated faster, more reliable data access.
  • Projects

    /ultralearn⁠

    AI-Powered Self-Learning System
  • Built a multi-agent learning system that orchestrates 6 sub-agents (coaching, fact verification, assessment, artifact management, reference generation, version control) to run structured study sessions with spaced repetition and retrieval practice
  • 02/2026 – Present
  • Used it to study 24 technical topics in 2 months while working full-time, including SEO, empirical evaluations for AI systems, and system design
  • Designed a cross-referencing system that tracks concept overlap across projects, preventing redundant study and surfacing connections
  • Implemented a workflow to allow the system to automatically self-verify concepts prior to teaching to prevent propagating factual inaccuracies
  • Technologies: Claude Code, Python
  • Budgeteer⁠

    World-class finance at your fingertips
  • Led a team of 3 full-stack engineers in developing an app for management of personal finances, including feeatures like transaction recording, financial trend analysis, and goal-setting.
  • 11/2024 – 12/2024
  • Technologies: Typescript, Next, Bun, Hono, Drizzle ORM, Docker.
  • Paper Trail⁠

    A Centralized Grievance System for the University of San Carlos
  • Developed a web application to streamline the grievance process for students at the University of San Carlos. Paper Trail reduced processing time by 25% and increased student satisfaction by 15% by replacing a manual paper-based system with a digital platform for submitting and tracking grievances and implementing role-based access control to ensure secure and efficient communication between students, faculty, and administrators.
  • 09/2023 – 12/2023
  • Technologies: Typescript, React, Express, Sequelize, Umzug, Convex.
  • Education

    BS Computer Science

    University of San Carlos
  • Department of Science and Technology (DOST) Scholar
  • 01/2022 – presentCebu City, Philippines
    Skills
    JavaScript

    TypeScript, Node, Express, React, Next, Apollo, Redux, Angular, NestJS

    Databases

    MongoDB, MySQL, PostgreSQL

    Python

    Pandas, Selenium, Scikit-learn, Pytorch

    Cloud Computing

    Google Cloud Platform, Firebase, Amazon Web Services, Supabase

    Other Technical

    GraphQL, REST API's, Git, Figma, Docker, Linux

    Organizations
  • Organized and facilitated a coding tutorial event in collaboration with DEVCON Kids to teach 30 grade school students from the local community about programming basics.
  • 07/2024 – 05/2025
  • Spearheaded the planning of the campus tour for over 500 freshmen.
  • Google Developer Student Clubs San Carlos

    Chief Technology Officer
  • Authored engaging tech articles to spark students' interest in technology and software development, contributing to increased website engagement by 15% and generating positive feedback from community members.
  • 08/2023 – 05/2024
  • Led the organization of five successful web development study jams for a total of 125 participants, averaging 25 per session. Managed logistics, coordinated speakers, and mentored students while adhering to budget constraints.