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As a machine learning researcher, I focus on reducing the high cost and energy footprint of sophisticated GPUs by designing scalable, privacy-preserving architectures. My work emphasizes building resource-efficient AI systems with a focus on trustworthiness, privacy, and real-world applicability. I enjoy exploring human neural capabilities to design sensitive, aware, and efficient algorithmic methods, and I actively seek collaborative opportunities to translate research into practical, ethical AI solutions. I am passionate about creating scalable ML systems, advancing multimodal and privacy-preserving techniques, and mentor-ing others through hands-on research and community initiatives. I value clear communication, rigorous experimentation, and open science, and I strive to make advanced AI accessible and trustworthy for diverse users and applications.…As a machine learning researcher, I focus on reducing the high cost and energy footprint of sophisticated GPUs by designing scalable, privacy-preserving architectures. My work emphasizes building resource-efficient AI systems with a focus on trustworthiness, privacy, and real-world applicability. I enjoy exploring human neural capabilities to design sensitive, aware, and efficient algorithmic methods, and I actively seek collaborative opportunities to translate research into practical, ethical AI solutions. I am passionate about creating scalable ML systems, advancing multimodal and privacy-preserving techniques, and mentor-ing others through hands-on research and community initiatives. I value clear communication, rigorous experimentation, and open science, and I strive to make advanced AI accessible and trustworthy for diverse users and applications.

Samuel Oyeneye

Data Scientist, AI Engineer, Back-End Developer, +2

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As a machine learning researcher, I focus on reducing the high cost and energy footprint of sophisticated GPUs by designing scalable, privacy-preserving architectures. My work emphasizes building resource-efficient AI systems with a focus on trustworthiness, privacy, and real-world applicability. I enjoy exploring human neural capabilities to design sensitive, aware, and efficient algorithmic methods, and I actively seek collaborative opportunities to translate research into practical, ethical AI solutions. I am passionate about creating scalable ML systems, advancing multimodal and privacy-preserving techniques, and mentor-ing others through hands-on research and community initiatives. I value clear communication, rigorous experimentation, and open science, and I strive to make advanced AI accessible and trustworthy for diverse users and applications.…As a machine learning researcher, I focus on reducing the high cost and energy footprint of sophisticated GPUs by designing scalable, privacy-preserving architectures. My work emphasizes building resource-efficient AI systems with a focus on trustworthiness, privacy, and real-world applicability. I enjoy exploring human neural capabilities to design sensitive, aware, and efficient algorithmic methods, and I actively seek collaborative opportunities to translate research into practical, ethical AI solutions. I am passionate about creating scalable ML systems, advancing multimodal and privacy-preserving techniques, and mentor-ing others through hands-on research and community initiatives. I value clear communication, rigorous experimentation, and open science, and I strive to make advanced AI accessible and trustworthy for diverse users and applications.

Available to hire

As a machine learning researcher, I focus on reducing the high cost and energy footprint of sophisticated GPUs by designing scalable, privacy-preserving architectures. My work emphasizes building resource-efficient AI systems with a focus on trustworthiness, privacy, and real-world applicability. I enjoy exploring human neural capabilities to design sensitive, aware, and efficient algorithmic methods, and I actively seek collaborative opportunities to translate research into practical, ethical AI solutions.

I am passionate about creating scalable ML systems, advancing multimodal and privacy-preserving techniques, and mentor-ing others through hands-on research and community initiatives. I value clear communication, rigorous experimentation, and open science, and I strive to make advanced AI accessible and trustworthy for diverse users and applications.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Work Experience

Machine Learning Engineer (Contract) at SDT Corp

January 1, 2025 - January 1, 2025

Fine-tuned LLaMA-3.1 on robotics data; memory optimization with minimal loss; integrated into a chatbot pipeline with knowledge graph functionality and RAG flows.

Co-Lead Investigator at ML Collective

January 1, 2025 - November 12, 2025

Privacy Isn’t Free: Benchmarking the System Cost of Privacy-Preserving ML. Advisory: Steven Kolawole (CMU). Contribution: Developed PrivacyBench, benchmarking privacy-utility-cost on CNN and Transformer medical image datasets; highlighted energy consumption implications.

Python Engineer Intern at Vale Finance Limited

January 1, 2024 - January 1, 2024

Developed a telecom service provider classification model with 96% accuracy; integrated backend with FastAPI; streamlined training and deployment pipelines.

Contributor at ABC Project (Multimodal Agreement-Based Cascading)