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A
Ahmad Tamim G.

Ahmad Tamim G.

Pharmacy & Healthcare AI Data Annotator | Pharmacology, Toxicology & Drug Safety

Afghanistan flagKabul, Afghanistan

Key Skills

Software

Don't disclose
Other

Top Subject Matter

Pharmacy & Healthcare - Pharmacology, Toxicology, Drug Discovery, Biomedical AI

Top Data Types

Computer Code ProgrammingComputer Code Programming
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Top Task Types

Question AnsweringQuestion Answering
RLHFRLHF
Data CollectionData Collection
Entity (NER) ClassificationEntity (NER) Classification

Freelancer Overview

I am a PhD Pharmacy researcher and lecturer with strong experience in pharmacology, toxicology, pharmacotherapy, pharmaceutical sciences, and AI-assisted drug research. My background includes developing and evaluating deep learning and machine learning models for pharmacological applications, including drug–target interaction prediction, adverse drug reaction prediction, drug safety analysis, and polypharmacy-related research. I have experience working with biomedical and drug-related datasets, including data preprocessing, feature extraction, model validation, scientific interpretation, and manuscript-level reporting. My expertise is highly relevant to AI training data and expert data labeling, especially for medical, pharmaceutical, and scientific content. I can accurately review, classify, score, and correct AI-generated responses related to drug mechanisms, drug interactions, adverse effects, toxicology, pharmacotherapy, medication safety, in silico research, and biomedical research methodology. With more than 9 years of teaching experience and a strong research background, I can provide high-quality expert judgment, clear explanations, and medically accurate annotations for AI model training and evaluation.

Labeling Experience

Expert Pharmacology and Drug Safety Data Labeling for AI Model Training

TextTextQuestion AnsweringQuestion Answering

Expert-labeled and validated pharmacology and drug safety data for a deep learning model predicting polypharmacy-induced adverse drug reactions. The work involved annotating drug–target–ADR relationships, reviewing biomedical evidence, validating drug safety labels, and preparing structured AI training data for pharmacological model development.

2023 - 2024

Education

U

Universiti Teknologi MARA

PhD, Pharmacology l Deep Learning

PhD
2023 - 2026

Work History

U

Universiti Teknologi MARA

Research Assistant

Selangor
2023 - 2025