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Adelowo Oluwatimileyin

Adelowo Oluwatimileyin

Generative AI Engineer (Freelance)

Italy flagN/A, Italy
$15.00/hrIntermediateAws Sagemaker

Key Skills

Software

AWS SageMakerAWS SageMaker

Top Subject Matter

Generative AI
Large Language Models
Mathematics

Top Data Types

TextText
ImageImage

Top Task Types

Fine-tuningFine-tuning

Freelancer Overview

My experience in AI training data spans both the technical and analytical sides. As a Generative AI Engineer, I have worked extensively with LLM pipelines — including prompt engineering, fine-tuning Llama 2 with supervised datasets, and evaluating model outputs against base model benchmarks. This work required careful attention to data quality, instruction formatting, and output consistency, which are core skills in AI training data work. I have also built RAG systems where document chunking, embedding quality, and retrieval relevance directly impact model behaviour, giving me a strong understanding of how data structure affects AI performance. Beyond GenAI, my background in mathematical engineering and applied ML gives me a rigorous foundation for data annotation and evaluation tasks. At N-and Italia Srl, I analysed large volumes of structured log data from 150+ vending machines, labelling and categorising events, identifying failure patterns, and building ground-truth datasets for predictive models. My MSc in Mathematical Engineering, combined with hands-on experience in classification, time series analysis, and model evaluation, means I can assess AI outputs with both technical depth and analytical precision.

IntermediateEnglish

Labeling Experience

Generative AI Engineer (Freelance)

TextFine Tuning
As a Generative AI Engineer, I designed and deployed production-ready LLM applications with a focus on AI training tasks. I specialized in fine-tuning foundation models and retrieval-augmented generation (RAG) pipelines, applying advanced prompt engineering techniques throughout. My work included building semantic retrieval pipelines and QA systems requiring robust data preparation and model adaptation. • Fine-tuned LLMs such as Llama2 for specific domains and evaluated improvements over baseline models. • Developed, annotated, and curated textual datasets for LLM training and supervised AI evaluation. • Built pipelines for semantic search and context-aware response generation, requiring precise data and prompt curation. • Integrated tools like OpenAI, Pinecone, LangChain, and Flask for training, annotation, and deployment tasks.

As a Generative AI Engineer, I designed and deployed production-ready LLM applications with a focus on AI training tasks. I specialized in fine-tuning foundation models and retrieval-augmented generation (RAG) pipelines, applying advanced prompt engineering techniques throughout. My work included building semantic retrieval pipelines and QA systems requiring robust data preparation and model adaptation. • Fine-tuned LLMs such as Llama2 for specific domains and evaluated improvements over baseline models. • Developed, annotated, and curated textual datasets for LLM training and supervised AI evaluation. • Built pipelines for semantic search and context-aware response generation, requiring precise data and prompt curation. • Integrated tools like OpenAI, Pinecone, LangChain, and Flask for training, annotation, and deployment tasks.

2025 - Present

Education

U

University of L’Aquila

Master of Science, Mathematical Engineering

Master of Science
2018 - 2021
O

Obafemi Awolowo University

Bachelor of Science, Mathematics

Bachelor of Science
2014 - 2018

Work History

F

Freelance

Generative AI Engineer

N/A
2025 - Present
I

Intuos Srl

Data Scientist

L’Aquila
2024 - 2025