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Chibundu Odogwu

Freelance LLM SaaS & Workflow Analyst

NIGERIA flag
Lagos, Nigeria
ExpertOther

Key Skills

Software

Other

Top Subject Matter

Llms Domain Expertise
Saas Domain Expertise
Crm Domain Expertise

Top Data Types

TextText
DocumentDocument

Top Task Types

Entity Ner Classification
Classification

Freelancer Overview

Freelance LLM SaaS & Workflow Analyst. Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Other. Education includes Bachelor of Science, University of Nigeria, Nsukka (2018). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Entity (NER) Classification.

Expert

Labeling Experience

Freelance LLM SaaS & Workflow Analyst

Text
Evaluated LLM integrations for SaaS and CRM systems, focusing on prompt optimization and API-driven context refinement. Structured output evaluation was utilized to ensure AI-generated responses met production standards for accuracy, reasoning, and contextual relevance. Designed prompt frameworks to enhance interaction between AI models and structured data systems.• Conducted rigorous LLM prompt engineering and refinement • Validated API responses and accuracy of output data • Identified and documented edge cases and workflow inconsistencies • Delivered quality assurance reporting for AI outputs

Evaluated LLM integrations for SaaS and CRM systems, focusing on prompt optimization and API-driven context refinement. Structured output evaluation was utilized to ensure AI-generated responses met production standards for accuracy, reasoning, and contextual relevance. Designed prompt frameworks to enhance interaction between AI models and structured data systems.• Conducted rigorous LLM prompt engineering and refinement • Validated API responses and accuracy of output data • Identified and documented edge cases and workflow inconsistencies • Delivered quality assurance reporting for AI outputs

2024 - Present

Freelance AI Trainer & Data Annotation Specialist

OtherTextEntity Ner Classification
Annotated and validated large-scale NLP datasets, focusing on sentiment analysis, intent classification, and entity recognition for LLM optimization. Maintained a high annotation accuracy rate while ensuring dataset quality and consistency. Conducted audits to identify labeling inconsistencies and provide corrective feedback.• Labeled over 10,000 NLP data entries for diverse tasks • Delivered structured feedback for improved model performance • Maintained 98–99% data annotation accuracy standards • Performed multi-pass dataset audits to ensure data integrity

Annotated and validated large-scale NLP datasets, focusing on sentiment analysis, intent classification, and entity recognition for LLM optimization. Maintained a high annotation accuracy rate while ensuring dataset quality and consistency. Conducted audits to identify labeling inconsistencies and provide corrective feedback.• Labeled over 10,000 NLP data entries for diverse tasks • Delivered structured feedback for improved model performance • Maintained 98–99% data annotation accuracy standards • Performed multi-pass dataset audits to ensure data integrity

2022 - Present

AI Data Annotation Associate (Freelance Projects)

OtherTextClassification
Performed high-volume data annotation projects for machine learning training pipelines with strict adherence to annotation protocols. Labeled text datasets for classification, entity tagging, and semantic understanding under various client project requirements. Ensured annotation frameworks allowed for efficiency, scalability, and reliable machine learning outcomes.• Labeled and classified large volumes of text data for ML projects • Followed stringent guidelines for annotation consistency • Applied semantic understanding during labeling processes • Supported client-specific data annotation objectives

Performed high-volume data annotation projects for machine learning training pipelines with strict adherence to annotation protocols. Labeled text datasets for classification, entity tagging, and semantic understanding under various client project requirements. Ensured annotation frameworks allowed for efficiency, scalability, and reliable machine learning outcomes.• Labeled and classified large volumes of text data for ML projects • Followed stringent guidelines for annotation consistency • Applied semantic understanding during labeling processes • Supported client-specific data annotation objectives

2020 - 2021

Education

U

University of Nigeria, Nsukka

Bachelor of Science, Microbiology

Bachelor of Science
2014 - 2018

Work History

F

Freelance

SaaS & Workflow Analyst

Lagos
2024 - Present
F

Freelance

SaaS / CRM QA Tester

Lagos
2023 - 2023