Daniel A.

Key Skills

Software

Argilla

Label Studio

Top Subject Matter

LLM response evaluation and AI product quality assurance

Data operations supporting AI/algorithmic workflows

Fintech & Web3 Products

Top Data Types

Text

Top Task Types

Data Collection

RLHF

Prompt + Response Writing (SFT)

Red Teaming

Text Summarization

Computer Programming/Coding

Evaluation/Rating

Freelancer Overview

Co-Founder & AI Product Lead — Orceum. Brings 5+ 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, Lagos State University (LASU) (2022). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Data Collection.

Labeling Experience

Co-Founder & AI Product Lead — Orceum

Text

Led the design of LLM response validation pipelines and evaluation rubrics to reduce hallucinations and improve context retention for vertical AI agents. This work functioned as AI labeling via structured scoring and validation of model outputs against quality criteria. • Built and iterated LLM response validation pipelines • Developed model evaluation rubrics for prototype scaling • Benchmarked and improved response correctness for vertical agents • Coordinated product and engineering delivery around evaluation quality

2025 - Present

Technical & Product Lead — Vacua

OtherTextData Collection

Managed data operations alongside engineering and UX/UI teams to deliver features for a UK student housing platform, including planning and execution of algorithmic workflows that relied on prepared datasets. While not explicitly described as labeling, the role included ownership of data operations to support end-to-end product functionality. • Planned and delivered feature requirements tied to data operations • Coordinated structured sprint cycles for faster technical delivery • Translated non-technical founder requirements into sprint-ready specs • Maintained on-time delivery across concurrent technical streams

2024 - Present

Education

Work History