Angelique Bagtas

I am a licensed Electronics Engineer and Electronics Technician with experience in broadcast engineering, artificial intelligence data operations, and building automation systems. My background includes managing broadcast operations, annotating and evaluating multimodal datasets for AI model development, and supporting engineering projects through AutoCAD, Microsoft Excel, VBA, and technical analysis. I enjoy solving technical problems, learning emerging technologies, and collaborating with cross functional teams to deliver reliable solutions.

I am currently seeking opportunities in Network Engineering, Systems Engineering, IT Infrastructure, Artificial Intelligence Operations, or Technology Consulting, where I can apply my engineering background while continuing to grow in the technology industry.

Master Control Engineer at GMA Network Inc. (2025-07 – Present)

• Managed real-time manual and automated broadcast operations across multiple television channels using Playlist Automation and Channel-In-A-Box (CIAB) systems, ensuring 100% uninterrupted transmission of live programs, commercials, sponsor bugs, and promotional content while validating media assets and on-air logs.
• Executed live broadcast graphics insertion and emergency transmission procedures by generating character graphics (CG), crawlers, program bugs, and pop-ups, while performing disaster recovery (DR) operations and signal restoration to minimize downtime and maintain continuous on-air service during technical disruptions.
• Coordinated with Production Directors, Broadcast Ingest Operations (BIOS), and external content providers to verify broadcast schedules, conduct pre-sign-on audio/video system checks, authorize live commercial timing, and maintain accurate compliance logs, ensuring operational accuracy and adherence to network broadcast standards.

Freelance Data Annotator at Innodata Knowledge Services Inc. (2026-01 – Present)

• Reviewed, evaluated, and annotated diverse datasets including text, images, audio, and video to produce high quality training data that improved the performance and accuracy of artificial intelligence and machine learning models.
• Maintained high accuracy and consistency while meeting strict Average Handling Time (AHT) and productivity targets, ensuring data integrity, operational compliance, and reliable documentation throughout the annotation process.
• Analyzed annotation guidelines, identified edge cases, and provided structured feedback that improved labeling standards, enhanced data quality, and increased the efficiency of artificial intelligence data operations.

Solutions & Support Engineer Intern at Linkwise Technology Philippines Inc. (2023-07 – 2023-09)

• Designed 2D device layouts, piping diagrams, Single Line Diagrams (SLDs), and network schematics in AutoCAD while developing a reusable device model database that improved design consistency and streamlined project workflows.
• Performed quantity take offs using PlanSwift and analyzed Direct Digital Controllers (DDCs) and hardware modules with Microsoft Excel Solver to support accurate hardware selection, cost estimation, and system performance optimization.
• Developed Microsoft Excel macros and Visual Basic for Applications (VBA) automation tools to reduce manual tasks, improve workflow efficiency, and support Building Automation System (BAS) projects through technical research and engineering analysis.

Bachelor of Science in Electronics Engineering – Technological University of the Philippines (2020 – 2024)