Hany Faltaos

Key Skills

Software

Clickworker

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Top Data Types

Computer Code Programming

Top Label Types

Computer Programming Coding

Freelancer Overview

I am an AI Engineer and Researcher with hands-on experience in developing and deploying machine learning and deep learning models, particularly for biomedical and NLP applications. My background includes building robust end-to-end ML pipelines—covering data collection, feature engineering, data annotation, model training, and rigorous evaluation—using tools such as Python, PyTorch, PyTorch Geometric, TensorFlow, and Hugging Face. I have worked extensively with structured and unstructured datasets, including molecular graphs and biomedical texts, ensuring high-quality data preparation and labeling for optimal model performance. My work spans from constructing custom datasets for protein–ligand binding prediction to implementing advanced NLP solutions, always emphasizing data quality and reproducibility. I thrive in multidisciplinary, international environments and am dedicated to leveraging precise data annotation and training data strategies to drive impactful AI solutions.

Labeling Experience

Freelancer

ClickworkerComputer Code ProgrammingComputer Programming Coding

Developed ML and GNN models for biomedical prediction tasks using PyTorch and PyTorch Geometric • Implemented GIN, GAT, and GTN architectures achieving state-of-the-art results on protein–ligand binding affinity prediction (MSE 0.15, Pearson r 0.97) • Built end-to-end ML pipelines: data collection, feature engineering, model training, evaluation, and deployment using Docker and Git • Applied Transformers and Hugging Face models to NLP tasks in biomedicine and business domains • Created interactive analytical dashboards and data visualization tools with Pandas, Matplotlib, and Seaborn • Conducted PostgreSQL database auditing and optimization for multi-tenant SaaS platforms • Developed ERPNext customizations (Python/JavaScript) including custom workflows, print templates, and automation scripts for Spanish SMEs

Developed ML and GNN models for biomedical prediction tasks using PyTorch and PyTorch Geometric • Implemented GIN, GAT, and GTN architectures achieving state-of-the-art results on protein–ligand binding affinity prediction (MSE 0.15, Pearson r 0.97) • Built end-to-end ML pipelines: data collection, feature engineering, model training, evaluation, and deployment using Docker and Git • Applied Transformers and Hugging Face models to NLP tasks in biomedicine and business domains • Created interactive analytical dashboards and data visualization tools with Pandas, Matplotlib, and Seaborn • Conducted PostgreSQL database auditing and optimization for multi-tenant SaaS platforms • Developed ERPNext customizations (Python/JavaScript) including custom workflows, print templates, and automation scripts for Spanish SMEs

2024

Education

Work History