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Samad Aderinto

Samad Aderinto

AI/LLM Engineer

Nigeria flagLagos, Nigeria
$24.00/hrIntermediateLabelboxKili TechnologyAxiom AI

Key Skills

Software

LabelboxLabelbox
Kili TechnologyKili Technology
Axiom AI
ClickworkerClickworker
CrowdSourceCrowdSource
Scale AIScale AI
Internal/Proprietary Tooling

Top Subject Matter

AI/LLM Training Data Preparation
Legal Services & Contract Review
Regulatory Compliance & Risk Analysis

Top Data Types

TextText
DocumentDocument
ImageImage

Top Task Types

RLHFRLHF
Fine-tuningFine-tuning
Object DetectionObject Detection

Freelancer Overview

AI/LLM Engineer. Brings 4+ 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 Lagos (2027). AI-training focus includes data types such as Text and labeling workflows including RLHF.

IntermediateEnglish

Labeling Experience

AI/LLM Engineer

TextRLHF
As an AI/LLM Engineer, I contributed to the preparation and curation of supervised fine-tuning and reinforcement learning from human feedback datasets. I designed and crafted high-quality prompt–completion pairs to enhance LLM instruction-following and reasoning abilities. I maintained reproducible training environments to streamline annotation and model review workflows. • Developed and refined SFT, RLHF, and function-calling datasets across diverse domains. • Authored and evaluated few-shot and chain-of-thought prompt–completion formats. • Improved LLM output quality, reducing hallucinations and enhancing accuracy. • Enhanced annotation processes and environment setup efficiency for data labeling workflows.

As an AI/LLM Engineer, I contributed to the preparation and curation of supervised fine-tuning and reinforcement learning from human feedback datasets. I designed and crafted high-quality prompt–completion pairs to enhance LLM instruction-following and reasoning abilities. I maintained reproducible training environments to streamline annotation and model review workflows. • Developed and refined SFT, RLHF, and function-calling datasets across diverse domains. • Authored and evaluated few-shot and chain-of-thought prompt–completion formats. • Improved LLM output quality, reducing hallucinations and enhancing accuracy. • Enhanced annotation processes and environment setup efficiency for data labeling workflows.

2024 - Present

Education

U

University of Lagos

Bachelor of Science, Electrical and Electronics Engineering

Bachelor of Science
2021 - 2027

Work History

P

Pearmonie LLC

Full Stack Software Engineer

Lagos
2024 - 2024
P

Proace International

Full Stack Software Engineer

N/A
2022 - 2023