Abuzaid

Key Skills

Software

Other

OpenCV AI Kit (OAK)

Roboflow

AWS SageMaker

Google Cloud Vertex AI

Top Subject Matter

Large Language Model (LLM) safety and robustness evaluation

Data Science & Data Analysis I have a strong background in data preprocessing, exploratory data analysis, feature engineering, data visualization, and predictive modeling. I have completed professional data science training and certifications and have worked extensively with Python, Pandas, NumPy, and machine learning workflows

Artificial Intelligence & Machine Learning I have hands-on experience in machine learning, deep learning, natural language processing, and computer vision. I have developed projects such as plant disease detection, brain tumor classification, AI-generated text detection, music genre classification, and intelligent chatbot systems. I am familiar with Python, PyTorch, model training, evaluation, and deployment.

Top Data Types

Text

Image

Document

Top Task Types

Red Teaming

Segmentation

Classification

Entity (NER) Classification

Object Detection

Text Generation

Text Summarization

Fine-tuning

Transcription

Computer Programming/Coding

Data Collection

Bounding Box

Freelancer Overview

AI/ML Intern (Red/Blue Team Safety & Robustness) — DomAIyn Labs Remote. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Technology, Maharaja Surajmal Institute of Technology (2028). AI-training focus includes data types such as Text and labeling workflows including Red Teaming.

Labeling Experience

AI/ML Intern (Red/Blue Team Safety & Robustness) — DomAIyn Labs Remote

OtherTextRed Teaming

Conducted adversarial testing and prompt-injection experiments to evaluate safety vulnerabilities in LLM deployments. Participated in developing evaluation benchmarks and safety guardrails for better model alignment. Performed red/blue team style assessment activities to measure robustness and reliability of AI-generated responses. • Adversarial testing of LLM behavior under unsafe prompts. • Prompt injection experiments to probe system weaknesses. • Collaboration on evaluation benchmark design for safety. • Contribution to safety guardrails for improved alignment.

2026 - Present

Education

Work History