At Visora, I record PC gameplay for data collection projects, following task-specific requirements for continuous play, resolution, aspect ratio, and frame-rate limits. I troubleshoot game detection and recording issues, then submit and monitor recordings against data quality requirements.
At FlyRank.ai, I built Python and FastAPI endpoints that send user input to an LLM provider and return schema-validated JSON. I also built a pipeline to parse, validate, repair, and quarantine malformed model output before it reached downstream systems.
I added request timeouts, exponential backoff retries, cost and usage logging, and a kill switch for AI calls. I also wrote version-controlled prompt specifications and an automated evaluation script to measure classification accuracy against a hand-labeled test set.
As an IT Support Intern at Batangas State University – TNEU Lipa Campus, I supported students, faculty, and staff with hardware, software, and network issues. My projects include a support-message triage API, a rice stock forecasting system, and a clinic appointment management system.
