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kojo otabilKO
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kojo otabil

@kojootabil

AI model trainer specializing in LLM fine-tuning and MLOps.

Ghana
Message

What I'm looking for

I seek a hands-on role building and scaling LLM training pipelines with strong MLOps practices, collaborative teams, and opportunities to improve model performance and deployment.

I am an experienced AI model trainer focused on large language models, fine-tuning (LoRA, PEFT), RLHF/DPO, and automated training pipelines. I design and implement training programs using Hugging Face, LangChain, and third-party APIs to improve model accuracy and performance.

I have led dataset curation, annotation, and evaluation efforts, documented system specifications and training processes, and collaborated cross-functionally with engineers and data scientists to resolve model limitations and scale deployment. My work emphasizes reproducible pipelines, reward modeling, and measurable performance metrics.

I hold an engineering bachelor's degree and an MBA, and I maintain professional certifications in AI technologies. I seek roles where I can drive MLOps best practices, build robust RLHF workflows, and deliver production-ready LLM solutions.

Experience

Work history, roles, and key accomplishments

ZC

AI Model Trainer

ZTE Corporation

Jun 2020 - Feb 2026 (5 years 8 months)

Developed and deployed LLM training pipelines using Hugging Face, LoRA and RLHF, improving model accuracy and efficiency and integrating models via APIs for production use.

Education

Degrees, certifications, and relevant coursework

University of Roehampton logoUR

University of Roehampton

Master of Business Administration, Public Administration

2015 - 2017

Completed a Master of Business Administration program in Public Administration, covering management and administrative practices.

Huazhong University of Science and Technology logoHT

Huazhong University of Science and Technology

Bachelor's Degree, Electronic and Information Engineering

2008 - 2012

Completed a Bachelor's degree in Electronic and Information Engineering, focusing on core topics in electronics and information systems.

Tech stack

Software and tools used professionally

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