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I'm an AI Engineer focused on applying machine learning to real-world industrial problems. I design and deploy NLP, information retrieval, and multimodal models, and I train and benchmark large language models and AI agents to tackle tasks in these domains.…

Mofetoluwa Adeyemi

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I'm an AI Engineer focused on applying machine learning to real-world industrial problems. I design and deploy NLP, information retrieval, and multimodal models, and I train and benchmark large language models and AI agents to tackle tasks in these domains.…

Available to hire

I’m an AI Engineer focused on applying machine learning to real-world industrial problems. I design and deploy NLP, information retrieval, and multimodal models, and I train and benchmark large language models and AI agents to tackle tasks in these domains.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

AI Research Engineer (Contract) at Upfeat

January 1, 2025 - October 1, 2025

Training and optimizing Mixture of Experts (MoE) and multimodal (MLLMs) models for internal tasks. Building AI Agents to collect and filter training and evaluation datasets. Curating and maintaining benchmark tools and datasets with Git CI/CD pipelines and inference frameworks such as vLLM and OpenAI-compatible servers. Developing custom reasoning LLMs using Reinforcement Learning, specifically with GRPO (Group Relative Policy Optimisation).

NLP Researcher at Masakhane

February 1, 2020 - Present

Led and organized the curation of a cross-lingual information retrieval dataset which included English and 4 African languages. Finetuned language models with high-quality curated datasets for tasks such as Named Entity Recognition (NER), achieving more effective performance compared to multilingual state-of-the-art models. Curating high-quality datasets for NLP tasks such as Named Entity Recognition and Machine Translation.

Graduate Researcher at Data Systems Group, University of Waterloo

January 1, 2023 - April 1, 2024

Machine learning research on text-based information retrieval, multilingual and cross-lingual NLP. Led the CIRAL project at FIRE 2023 where community evaluations were carried on retrieval and reranking models. Training language models for first-stage retrieval and multi-stage reranking. Implementing Large language models such as GPT and Zephyr as rerankers on low-resource languages.

Machine Learning Engineer at Decagon HQ

January 1, 2021 - March 1, 2021

Led the implementation of a content-based recommender system for HairX, an application to help manage hair health. A similarity-based recommender was developed to suggest hair products and regimens based on user hair type and needs.

Junior Machine Learning Engineer at Rural Farmers Hub

June 1, 2020 - October 1, 2020

Worked with the ML team to create computer vision models for farm tech. Performed instance segmentation with the Mask-RCNN algorithm for farm boundary detection on a web application deployed for farmers.