Key Skills

Software

Don't disclose

Top Subject Matter

AI/ML – NLP Security & Adversarial Machine Learning

Software Engineering – Code Review & Evaluation

E-commerce – Sentiment Analysis & Text Classification

Top Data Types

Text

Document

Computer Code Programming

Top Task Types

Classification

Fine Tuning

Red Teaming

Entity Ner Classification

Text Summarization

Text Generation

RLHF

Evaluation Rating

Question Answering

Freelancer Overview

Computer Science student (final year, Bina Nusantara University) with research experience in NLP security and adversarial machine learning. My thesis work involves empirical study of backdoor attacks on Indonesian NLP models (IndoBERT/IndoNLU), including dataset poisoning, model fine-tuning, and systematic evaluation of attack success rates against sentiment analysis pipelines. Proficient in Python, HuggingFace Transformers, and scikit-learn. Comfortable reading, writing, and critically evaluating code across Python, JavaScript, C++, and Java. Fluent in English and Bahasa Indonesia, with rudimentary/basic knowledge of German. Evaluated and annotated sentiment classifications on the SmSA (Indonesian sentiment analysis) dataset as part of my backdoor attack research, including identifying mislabeled samples, verifying trigger-pattern insertions, and assessing model output quality across clean vs. poisoned data splits.

Labeling Experience

Education

Work History