Alliyah Gwyneth Ortega

Remote Analyst at Innodata Knowledge Services, Inc.

Reviewed, labeled, and validated large-scale online datasets used for training generative AI and large language models. Ensured data accuracy, consistency, and adherence to detailed annotation guidelines. Identified data quality issues, edge cases, and inconsistencies, and flagged them for correction. Contributed feedback to improve data annotation processes and quality control workflows.

Online Business Owner at Kendi Jewelry and Accessories Shop

Designed and created customs, made-to-order jewelry and accessories; managed end-to-end e-commerce operations through Shopee, including order fulfillment, customer service, and shipping. Registered and maintained legal compliance of the business with BIR and DTI. Handled bookkeeping, issued official receipts, and ensured timely and accurate tax filing and payments. Developed skills in inventory management, product pricing, and cost control to maintain profitability.

Head Barista and Shift Leader at Piscean Café

Led on-site operations as Head Barista and Shift Leader, coordinating inventory tracking, staff scheduling, and customer service. Trained new hires on standard operating procedures and equipment use. Balanced front-end service with back-end operations, demonstrating multitasking and problem solving under pressure. Implemented time management strategies to meet service deadlines.

Remote Student Intern at CloudSwyft

Assisted in organizing and refining the structure and content of CloudSwyft's websites. Designed engaging infographics to showcase and promote learning courses. Gained hands-on experience in developing and refining the layout and outline of the company’s website. Worked on a dedicated internal website project designed for CloudSwyft employees, focusing on user experience and functionality. Used Microsoft applications for collaboration and project management.

Remote Analyst [Level 2] at Innodata Knowledge Services, Inc.

Reviewed, labeled, and validated large-scale online datasets used for training generative AI and large language models; ensured data accuracy, consistency, and adherence to detailed annotation guidelines; identified data quality issues and edge cases for correction; provided feedback to improve data annotation processes and quality control workflows.