Ayodeji Adeyemo
EXPERTISE
BIO
A results-oriented AI and LLM Solutions Engineer with expertise in building scalable, production-grade machine learning systems and large language model (LLM) pipelines. Demonstrated proficiency in backend development, API integration, model deployment, and optimization in cloud-native environments (GCP, AWS). Delivered enterprise-level solutions using LangChain, OpenAI, and custom-trained transformer models. Proven impact in cost reduction, efficiency improvement, and AI model explainability. Published IEEE CAI researcher with a strong foundation in deep learning, and prompt engineering best practices.
WORK EXPERIENCE
AI Researcher
Cleverarium LLC
February 2025 - Present
Designed, fine-tuned, and deployed transformer-based models for image classification tasks on wildlife datasets. Led data pipeline automation using Airflow and GCP Cloud Functions, reducing processing latency by 35%. Published peer-reviewed paper on CNN-based classification at IEEE CAI 2025.
Data Science Intern
Walmart Global Tech
June 2024 - August 2024
Developed a GenAI model for accurate price matching for Pricing Managers by creating a production-ready end-to-end pipeline in GCP. Leveraged proprietary and open-source LLM models and the Langchain library to build the solution. Utilized Python BigQuery API to ingest data directly from BigQuery and applied few-shot learning to improve model responses. Precision and recall were employed as evaluation metrics for the ranking system. Presented results to leadership and the entire AI Labs team Successfully reduced the search space for Sam’s Club items with matching competitor items by over 90%, resulting in a time savings of approximately 22 hours per week for Pricing Managers and delivering an estimated cost savings of $500K annually.
EDUCATION
Masters
University of Louisiana at Lafayette, December 2024
Informatics
PORTFOLIO PROJECTS
Sexing Orcas: A Classification Method Using Convolution Neural Network
I am currently building a hybrid GenAI-powered application for wildlife conservation that combines Convolutional Neural Networks (CNN) and Generative AI to classify the sex of orcas from images. The application integrates a VGG16-based image classifier with LLMs (like Mistral 7B, Gemini, and Cohere) to offer interactive explanations and validation through a FastAPI-based chatbot interface.
View ProjectVerified AI Developer
3-5 years of experience
Preferred commitment: Full Time
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