Nafisa U.

Key Skills

Software

Other

Top Subject Matter

Cybersecurity (CTF/Threat Detection) & Machine Learning

Top Data Types

Computer Code Programming

Top Task Types

Fine-tuning

Freelancer Overview

RNN-based Malicious DNS Sequence Detector (SPL Project) — In Progress. Core strengths include Other. Education includes Bachelor of Software Engineering, University of Dhaka — Institute of Information Technology (2028) and Higher Secondary Certificate, Adamjee Cantonment College (2023). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Fine-tuning.

Labeling Experience

RNN-based Malicious DNS Sequence Detector (SPL Project) — In Progress

OtherFine-tuning

Developed an RNN-based malicious DNS sequence detector as an ML project to support cybersecurity use cases. In this work, model development required preparing and using DNS traffic sequences for supervised learning and classification of malicious vs benign patterns. The project focuses on training on DNS traffic datasets to learn anomaly characteristics from sequence data. • Implemented core neural network logic in C++ for efficient sequence classification and anomaly detection. • Used DNS traffic sequence datasets to capture malicious query patterns. • Trained and evaluated an RNN model for sequence-level anomaly detection. • Targeted real-world cybersecurity applications involving DNS query behavior modeling.

2024 - Present

Education

Work History