Osama Ahmed

Key Skills

Software

Label Studio

Other

Argilla

Top Subject Matter

No subject matter listed

Top Data Types

Text

Document

Top Task Types

RLHF

Segmentation

Entity Ner Classification

Freelancer Overview

I am a physicist with a decade of experience in experimental research and scientific computing, with a strong emphasis on high-quality data collection, annotation, and analysis for advanced sensing and measurement systems. My background includes developing automated data acquisition and analysis pipelines in Python, implementing rigorous quality control and Bayesian fitting, and building machine-vision tools for real-time denoising and automated optics alignment. I have extensive hands-on expertise with large, multi-modal datasets, signal and image processing, and statistical modeling, as well as experience mentoring teams on reproducible workflows and best practices for data labeling. My work has spanned quantum sensing, precision instrumentation, and applied machine learning, leveraging tools such as Python (NumPy, Pandas, SciPy), Jupyter, Git, and Docker to deliver reliable, scalable training data for scientific and industrial AI applications.

Labeling Experience

Senior Data Labeling Specialist, QA Lead

Label StudioTextRLHF

Delivered annotations for images, PDFs, and short text with high QA acceptance rates. Focused on RLHF tasks such as prompt writing, pairwise preference ranking, and conversation grading. Built and maintained annotation guidelines to improve inter-annotator agreement. • Conducted safety labeling using policy taxonomies. • Managed 12 contractors with weekly calibration sessions. • Used Label Studio to set up projects with custom templates. • Developed Python utilities for dataset QA and validation.

Delivered annotations for images, PDFs, and short text with high QA acceptance rates. Focused on RLHF tasks such as prompt writing, pairwise preference ranking, and conversation grading. Built and maintained annotation guidelines to improve inter-annotator agreement. • Conducted safety labeling using policy taxonomies. • Managed 12 contractors with weekly calibration sessions. • Used Label Studio to set up projects with custom templates. • Developed Python utilities for dataset QA and validation.

2023

Computer Vision Annotation Specialist

OtherDocumentSegmentation

Produced high quality annotations for product detection and road scene segmentation. Led document AI labeling with polygons for layout regions and OCR alignment. Implemented consensus labeling to reduce disagreement rates. • Collaborated with ML engineers to improve model performance. • Applied segmentation techniques for road scenes and retail products. • Developed benchmarks and taxonomies for error handling. • Focused on increasing mAP and rare class recall in model cycles.

Produced high quality annotations for product detection and road scene segmentation. Led document AI labeling with polygons for layout regions and OCR alignment. Implemented consensus labeling to reduce disagreement rates. • Collaborated with ML engineers to improve model performance. • Applied segmentation techniques for road scenes and retail products. • Developed benchmarks and taxonomies for error handling. • Focused on increasing mAP and rare class recall in model cycles.

2020 - 2023

Data Annotator

ArgillaTextEntity Ner Classification

Completed annotation projects in sentiment analysis and topic tagging for varied domains. Enhanced speed and efficiency without compromising quality. Maintained detailed metadata for reproducibility. • Created personal hotkey layouts and bulk-edit macros. • Ensured quality and speed through structured processes. • Focused on clear audit trails for transparency. • Implemented efficient annotation techniques for text data.

Completed annotation projects in sentiment analysis and topic tagging for varied domains. Enhanced speed and efficiency without compromising quality. Maintained detailed metadata for reproducibility. • Created personal hotkey layouts and bulk-edit macros. • Ensured quality and speed through structured processes. • Focused on clear audit trails for transparency. • Implemented efficient annotation techniques for text data.

2018 - 2020

Education

Work History