Microsoft Office

AI Trainer & Data Annotation Specialist with a strong foundation in operations, digital transformation, and budgeting from 18 years as Assistant Manager at PT Dipo Star Finance. Adept in QA validation, linguistic data labeling, and process improvement to enhance Large Language Models and AI system accuracy.
Accomplished in project management, leadership, and performance optimization, with a proven track record of managing major business process transformations and maintaining operational integrity in fast-paced environments. Recognized for analytical thinking, adaptability, and clear communication, delivering high-quality results across both corporate and AI-driven projects.
I contribute to the development and improvement of Large Language Models (LLMs) by providing accurate data labeling, linguistic analysis, and quality assurance review. My work ensures that AI systems better understand human language with precision, context, and cultural nuance.
Key Responsibilities:
Data Annotation: Label, categorize, and validate large volumes of text data for NLP tasks such as intent classification, sentiment analysis, entity recognition, and text generation.
Quality Assurance (QA): Review and audit other annotators’ work to maintain accuracy, consistency, and adherence to project guidelines. Provide detailed feedback and ensure final dataset integrity.
AI Training: Evaluate and refine AI-generated responses by giving structured feedback to improve language understanding, tone, and reasoning quality.
Linguistic Analysis: Apply linguistic judgment to detect context, ambiguity, and grammar nuances for multilingual data (primarily English and Bahasa Indonesia).
Achievements & Highlights:
Contributed to a high-accuracy dataset used to train and enhance conversational AI models.
Maintained a consistent QA score above 95% for accuracy and compliance.
Recognized for strong attention to detail and clear, constructive feedback in collaborative review sessions.
Trisakti University
My thesis was analyzing the influences of Internal Financial Ratios which using NPM, ROA, ROE, Liquidity and Size as independent variable, to identify the major determinants of Capital Structures of Financial Companies in Indonesia period 2008 – 2012 .
Operations Management
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