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Adewale Adesoye

Adewale Adesoye

Program Director, AI & Data Systems / AI Training & Data Enrichment Specialist

USA flagN/A, Usa
$30.00/hrExpertOther

Key Skills

Software

Other

Top Subject Matter

AI Solutions
Data Enrichment
Machine Learning

Top Data Types

TextText
ImageImage
DocumentDocument

Top Task Types

Classification

Freelancer Overview

Program Director, AI & Data Systems / AI Training & Data Enrichment Specialist. Brings 19+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Python. Education includes Bachelor of Science, N/A (2011). AI-training focus includes data types such as Text and labeling workflows including Classification.

ExpertEnglish

Labeling Experience

Program Director, AI & Data Systems / AI Training & Data Enrichment Specialist

TextClassification
As Program Director, AI & Data Systems, I led hands-on data labeling and enrichment for machine learning workflows. I prepared and validated structured and unstructured datasets, focusing on increasing data quality and model accuracy. Automation of training pipelines and implementation of systematic quality control were integral to these responsibilities. • Labeled large-scale text datasets for AI model development • Conducted data audits to reduce annotation error rates • Collaborated with cross-functional AI teams for framework refinement • Implemented validation processes to ensure data consistency and fairness

As Program Director, AI & Data Systems, I led hands-on data labeling and enrichment for machine learning workflows. I prepared and validated structured and unstructured datasets, focusing on increasing data quality and model accuracy. Automation of training pipelines and implementation of systematic quality control were integral to these responsibilities. • Labeled large-scale text datasets for AI model development • Conducted data audits to reduce annotation error rates • Collaborated with cross-functional AI teams for framework refinement • Implemented validation processes to ensure data consistency and fairness

2024 - Present

Product Owner/Manager, Clinical Trial Optimization

TextClassification
As Product Owner/Manager at Concert Ai, I drove the integration of machine learning into clinical trial optimization, emphasizing AI data workflows. My role included preparing datasets and defining labeling and analytic criteria to support predictive modeling and trial efficiency. I led teams to implement data quality procedures for labeled datasets and collaborated on refining AI model feedback loops. • Oversaw preparation and labeling of clinical trial datasets • Defined standards for training data annotation and enrichment • Led validation and bias detection efforts for healthcare AI • Coordinated data labeling process improvements for better outcomes

As Product Owner/Manager at Concert Ai, I drove the integration of machine learning into clinical trial optimization, emphasizing AI data workflows. My role included preparing datasets and defining labeling and analytic criteria to support predictive modeling and trial efficiency. I led teams to implement data quality procedures for labeled datasets and collaborated on refining AI model feedback loops. • Oversaw preparation and labeling of clinical trial datasets • Defined standards for training data annotation and enrichment • Led validation and bias detection efforts for healthcare AI • Coordinated data labeling process improvements for better outcomes

2022 - 2024

AI Training Dataset Optimization (Project Experience)

TextClassification
Through dedicated AI projects, I prepared, labeled, and enriched large-scale structured and text datasets for machine learning workflows. My work spanned data validation, annotation error reduction, and iterative quality control processes that enhanced model readiness. These activities supported both enterprise and startup AI deployment. • Conducted labeling for training and evaluation datasets • Reduced annotation errors through rigorous validation • Assessed bias and consistency to improve model fairness • Supported multiple AI and data enrichment projects simultaneously

Through dedicated AI projects, I prepared, labeled, and enriched large-scale structured and text datasets for machine learning workflows. My work spanned data validation, annotation error reduction, and iterative quality control processes that enhanced model readiness. These activities supported both enterprise and startup AI deployment. • Conducted labeling for training and evaluation datasets • Reduced annotation errors through rigorous validation • Assessed bias and consistency to improve model fairness • Supported multiple AI and data enrichment projects simultaneously

Not specified

Education

N

N/A

Bachelor of Science, Computer Science

Bachelor of Science
1998 - 2004

Work History

G

Granu Ai

Program Director, AI & Data Systems

N/A
2024 - Present
C

Concert Ai

Product Owner/Manager, Clinical Trial Optimization

N/A
2022 - 2024