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E

Edson Broderick Lim

Analyst: AI/LLM Practitioner with expertise in Mathematics

PHILIPPINES flag
Paranaque City, Philippines
$20.00/hrIntermediateInternal Proprietary Tooling

Key Skills

Software

Internal/Proprietary Tooling

Top Subject Matter

AI/LLM Fine-tuning and Evaluation
AI/LLM Dataset Curation
AI/LLM Fine-tuning and Annotation

Top Data Types

TextText
AudioAudio
DocumentDocument

Top Task Types

Fine Tuning
Text Summarization
Evaluation Rating
RLHF

Freelancer Overview

Analyst: AI/LLM Practitioner. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Science, University of the Philippines, Diliman (2023). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Fine-tuning.

IntermediateTagalogEnglish

Labeling Experience

Operations Manager – AI/LLM Data Curation

TextFine Tuning
As Operations Manager, I ensured timely delivery of high-quality datasets used for the fine-tuning of AI and Large Language Models. My responsibilities included project management, quality assurance, and support for multiple concurrent AI data labeling projects. I defined process improvements and performed root cause analyses to maintain data quality. • Oversaw delivery of datasets for LLM fine-tuning • Managed teams handling AI data annotation tasks • Designed and implemented improvement plans for labeling efficiency • Coordinated global teams for large-scale data projects

As Operations Manager, I ensured timely delivery of high-quality datasets used for the fine-tuning of AI and Large Language Models. My responsibilities included project management, quality assurance, and support for multiple concurrent AI data labeling projects. I defined process improvements and performed root cause analyses to maintain data quality. • Oversaw delivery of datasets for LLM fine-tuning • Managed teams handling AI data annotation tasks • Designed and implemented improvement plans for labeling efficiency • Coordinated global teams for large-scale data projects

2024 - 2025

Team Manager – AI/LLM Annotation Projects

TextFine Tuning
As Team Manager, I led a team of at least 20 analysts conducting data annotation for LLM fine-tuning projects. I created dashboards for performance monitoring and was responsible for training and supporting new hires in AI data labeling operations. My role was focused on optimizing workflows to maintain annotation quality and efficiency. • Supervised a team annotating data for LLMs • Developed dashboards tracking annotation KPIs • Trained staff in quality assessment techniques • Supported onboarding for data labeling processes

As Team Manager, I led a team of at least 20 analysts conducting data annotation for LLM fine-tuning projects. I created dashboards for performance monitoring and was responsible for training and supporting new hires in AI data labeling operations. My role was focused on optimizing workflows to maintain annotation quality and efficiency. • Supervised a team annotating data for LLMs • Developed dashboards tracking annotation KPIs • Trained staff in quality assessment techniques • Supported onboarding for data labeling processes

2024 - 2024

Analyst: AI/LLM Practitioner

TextRLHF
I assisted in the fine-tuning of Artificial Intelligence and Large Language Models by optimizing model responses and evaluating key parameters. The work involved assessing output for safety, accuracy, relevance, and honesty as core metrics. I also developed a methodology for identifying edge cases and improved evaluation standards. • Evaluated AI-generated text responses on multiple dimensions • Created a system to identify and classify edge cases • Presented evaluation methods to clients, highlighting process complexities • Facilitated the refinement of criteria for AI model improvement

I assisted in the fine-tuning of Artificial Intelligence and Large Language Models by optimizing model responses and evaluating key parameters. The work involved assessing output for safety, accuracy, relevance, and honesty as core metrics. I also developed a methodology for identifying edge cases and improved evaluation standards. • Evaluated AI-generated text responses on multiple dimensions • Created a system to identify and classify edge cases • Presented evaluation methods to clients, highlighting process complexities • Facilitated the refinement of criteria for AI model improvement

2023 - 2024

Education

U

University of the Philippines, Diliman

Bachelor of Science, Mathematics

Bachelor of Science
2018 - 2023

Work History

I

Innodata Knowledge Services

Business Analytics Lead / Analytics Manager

Mandaue City
2025 - 2025
I

Innodata Knowledge Services

Operations Manager

Mandaue City
2024 - 2025