Ran A.

Key Skills

Software

Other

Top Subject Matter

Point-of-care diagnostics (anemia and hemoglobinopathy) using paper-based electrophoresis

Top Data Types

Text

Image

Top Task Types

Fine-tuning

Freelancer Overview

PI (20%) on CAPCaT/NHLBI grant: “Quantitative Anemia Detection” (01/01/2021–06/30/2022). Brings 16+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Senior Research Associate, Case Western Reserve University (2022) and Doctor of Philosophy, Michigan Technological University (2015). AI-training focus includes data types such as Text and labeling workflows including Fine-tuning.

Labeling Experience

PI (20%) on CAPCaT/NHLBI grant: “Quantitative Anemia Detection” (01/01/2021–06/30/2022)

OtherTextFine-tuning

Implemented and trained machine learning algorithms to support paper-based electrophoresis for integrated anemia and hemoglobinopathy detection as part of point-of-care diagnostic development. The work involved preparing model-ready inputs from experimental outputs and iteratively improving predictive performance for clinical screening use cases. This effort focused on using learned patterns to enhance accuracy of test results derived from electrophoresis readouts. • ML algorithm training and iterative model improvement • Integration of AI/ML with paper-based electrophoresis diagnostic pipeline • Development for anemia and hemoglobinopathy detection workflows • Optimization for point-of-care screening performance

2021 - 2022

Education

Work History