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V

Victor Chukwudebelu

Senior AI Research Engineer - RLHF Optimization and LLM Training

Nigeria flagLagos, Nigeria
Expert

Key Skills

Software

No software listed

Top Subject Matter

Large Language Models (LLMs)
Reinforcement Learning
Human Feedback

Top Data Types

TextText

Top Task Types

RLHFRLHF
Fine-tuningFine-tuning

Freelancer Overview

Senior AI Research Engineer - RLHF Optimization and LLM Training. Brings 10+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Master of Computer Applications, University of Pennsylvania (2016). AI-training focus includes data types such as Text and labeling workflows including RLHF and Fine-tuning.

Expert

Labeling Experience

Senior AI Research Engineer - RLHF Optimization and LLM Training

TextRLHF
I led RLHF pipeline optimization for safer and more aligned language models. I directed improvements in human feedback loops to enhance LLM fine-tuning. Model performance and safety were significantly boosted through AI training iterations. • Led a cross-functional team for RLHF optimizations • Improved human-AI alignment processes • Architected distributed training for LLMs • Enhanced LLM safety via human feedback

I led RLHF pipeline optimization for safer and more aligned language models. I directed improvements in human feedback loops to enhance LLM fine-tuning. Model performance and safety were significantly boosted through AI training iterations. • Led a cross-functional team for RLHF optimizations • Improved human-AI alignment processes • Architected distributed training for LLMs • Enhanced LLM safety via human feedback

2024 - 2025

Machine Learning Engineer - Model Training and Data Curation

TextFine Tuning
I developed data ingestion and preprocessing pipelines for multi-modal AI model training. My work focused on machine learning workflows that improved accuracy through curated data and parameter optimization. I contributed to deploying large-scale AI models that powered production features. • Built ingest and preprocessing workflows for Gemini/PaLM • Focused on Search ranking and model accuracy • Collaborated on multi-modal data tasks • Supported large-scale AI feature deployment

I developed data ingestion and preprocessing pipelines for multi-modal AI model training. My work focused on machine learning workflows that improved accuracy through curated data and parameter optimization. I contributed to deploying large-scale AI models that powered production features. • Built ingest and preprocessing workflows for Gemini/PaLM • Focused on Search ranking and model accuracy • Collaborated on multi-modal data tasks • Supported large-scale AI feature deployment

2021 - 2023

Education

U

University of Pennsylvania

Master of Computer Applications, Computer Science

Master of Computer Applications
2016 - 2016

Work History

G

Gannett

Senior AI Research Engineer

McLean
2024 - 2025
U

Union Pacific

Machine Learning Engineer

Omaha
2021 - 2023