Darren Mitch V.

Key Skills

Software

Appen

Labelbox

LabelImg

Label Studio

Micro1

Top Subject Matter

LLM evaluation and fine-tuning (software engineering benchmarks)

Legal Services & Contract Review

Regulatory Compliance & Risk Analysis

Top Data Types

Text

Document

Image

Top Task Types

Fine-tuning

Bounding Box

Polygon

Segmentation

Classification

Point/Key Point

Object Detection

Text Generation

Question Answering

RLHF

Text Summarization

Evaluation/Rating

Computer Programming/Coding

Data Collection

Function Calling

Freelancer Overview

AI Data — SWE-bench Task Authoring & Annotation (Outlier.ai / Bespoke Labs). Brings 8+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Business Administration, Silliman University (2021). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Fine-tuning.

Labeling Experience

AI Data — SWE-bench Task Authoring & Annotation (Outlier.ai / Bespoke Labs)

Fine-tuning

Authored and validated SWE-bench software-engineering tasks and annotated training data to support LLM evaluation and fine-tuning. The work focused on producing high-quality labeled datasets for model assessment and improvement in coding-related tasks. Output labeling included task definitions and corresponding annotations suitable for benchmark and training pipelines. • SWE-bench task authoring • Training-data annotation for LLM evaluation • Support for fine-tuning workflows • Ensuring validation/quality of labeled tasks

Not specified

Education

Work History