For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

Invite to Job
Y

Yeser Meziani

PhD Researcher – Clinical Assessment Modeling and Machine Learning-Data Science

Algeria flagN/A, Algeria
$54.00/hrExpertDon T Disclose

Key Skills

Software

Don't disclose

Top Subject Matter

Medical/rehabilitation Domain Expertise
Spatio-temporal Clinical Data
Data Science and machine learning

Top Data Types

TextText
DocumentDocument
Computer Code ProgrammingComputer Code Programming

Top Task Types

ClassificationClassification
Text GenerationText Generation
Question AnsweringQuestion Answering
Fine-tuningFine-tuning
Red TeamingRed Teaming
Evaluation/RatingEvaluation/Rating
Computer Programming/CodingComputer Programming/Coding
Data CollectionData Collection
Function CallingFunction Calling
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)
RLHFRLHF

Freelancer Overview

PhD Research – Clinical Assessment Modeling and Data Annotation. Brings 11+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Doctor of Philosophy, University of Tlemcen | University of Lorraine (2022) and Master of Science, University of Tlemcen (2017). AI-training focus includes data types such as Text and labeling workflows including Classification.

ExpertEnglishArabicFrench

Labeling Experience

Graduate Research Assistant – Systematic Review Data Annotation

TextClassification
Orchestrated a full-scale systematic review using a custom NLP labeling pipeline to mine and annotate 4,000+ scholarly articles. Designed and implemented protocols for high-precision text classification and thematic extraction. Synthesized and validated results into interpretable sets of high-impact articles for research impact analysis. • Engineered annotation workflow for large document corpora • Applied rigorous PRISMA review protocol for labeling • Used custom Python software for document processing • Ensured reproducibility and data integrity throughout pipeline

Orchestrated a full-scale systematic review using a custom NLP labeling pipeline to mine and annotate 4,000+ scholarly articles. Designed and implemented protocols for high-precision text classification and thematic extraction. Synthesized and validated results into interpretable sets of high-impact articles for research impact analysis. • Engineered annotation workflow for large document corpora • Applied rigorous PRISMA review protocol for labeling • Used custom Python software for document processing • Ensured reproducibility and data integrity throughout pipeline

2018 - 2022

PhD Research – Clinical Assessment Modeling and Data Annotation

TextClassification
Developed and validated novel probabilistic models and assessment scales using real-world patient data for clinical decision-support. Led labeling of spatio-temporal data to track motor performance and clinical outcomes with ground truth provided by established clinical scales. Built and managed pipelines to generate actionable insights from text, time series, and corresponding metadata. • Used clinical literature as labeled data for training assessment algorithms • Applied ground truth from Fugl-Meyer Assessment and clinical evaluations • Implemented data validation frameworks in Python • Translated clinical domain data into features for machine learning models

Developed and validated novel probabilistic models and assessment scales using real-world patient data for clinical decision-support. Led labeling of spatio-temporal data to track motor performance and clinical outcomes with ground truth provided by established clinical scales. Built and managed pipelines to generate actionable insights from text, time series, and corresponding metadata. • Used clinical literature as labeled data for training assessment algorithms • Applied ground truth from Fugl-Meyer Assessment and clinical evaluations • Implemented data validation frameworks in Python • Translated clinical domain data into features for machine learning models

2018 - 2022

Education

U

University of Tlemcen | University of Lorraine

Doctor of Philosophy, Computer Engineering

Doctor of Philosophy
2018 - 2022
U

University of Tlemcen

Master of Science, Automation and Industrial Computing

Master of Science
2015 - 2017

Work History

I

Independent Researcher

Researcher and Consortium Lead

N/A
2022 - Present
U

University of Tlemcen

Graduate Research Assistant

Tlemcen
2018 - 2022