Leo Terkuma Akase

Physics Graduate | Machine Learning & Scientific Computing Specialist

Keffi, NG.

About

Highly analytical First-Class Physics graduate with a strong foundation in Python programming, machine learning, and scientific computing. Proven ability to apply advanced computational methods to solve complex problems, as demonstrated by implementing a deep learning-based digital predistortion system. Eager to leverage robust research, data analysis, and technical writing skills to drive impactful contributions in an analytical or technical role.

Work

Department of Physics, NSUK

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Student Researcher (Final Year Project)

Keffi, Nasarawa State, Nigeria

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Summary

Led a final year research project focused on developing and evaluating a deep learning-based digital predistortion system for RF power amplifiers.

Highlights

Designed and implemented a deep learning model for digital predistortion (DPD) in RF power amplifiers, enhancing system efficiency and performance.

Conducted comprehensive data preprocessing and rigorous model training and evaluation, ensuring robust system accuracy and reliability.

National Association of Physics Students NSUK Chapter

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Director of Academics

Keffi, Nasarawa State, Nigeria

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Summary

Directed academic initiatives and peer support programs for the university's physics student association, serving two terms.

Highlights

Organized and coordinated tutorial sessions across multiple academic levels, enhancing learning outcomes for numerous peers and juniors.

Provided direct academic support and mentorship to peers and junior students in complex mathematics and physics coursework.

Managed academic programming and initiatives for two consecutive terms, demonstrating sustained leadership and organizational capabilities.

Federal Medical Center, Keffi

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SIWES Intern

Keffi, Nasarawa State, Nigeria

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Summary

Gained practical experience in biomedical device maintenance and troubleshooting within a hospital setting as a SIWES Intern.

Highlights

Observed and documented maintenance routines for key biomedical devices, contributing to operational continuity and equipment longevity.

Developed foundational troubleshooting skills and an understanding of hospital technology workflows, ensuring efficient device operation.

Education

Nasarawa State University, Keffi

Keffi, Nasarawa State, Nigeria
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BSc Physics Grade: First Class Honours

Awards

First Class Honours

Nasarawa State University, Keffi

Graduated at the top of the class with First Class Honours, recognizing exceptional academic performance in Physics.

Languages

English

Skills

Programming Languages

Python Programming.

Technical Skills

Scientific Computing, Machine Learning Fundamentals, Data Preprocessing, Model Training, Model Evaluation, RF Power Amplifier Systems, Digital Predistortion (DPD), Biomedical Device Maintenance, Troubleshooting.

Professional Skills

Technical Writing & Report Preparation, Problem Solving, Teamwork, Analytical Skills, Computational Skills, Leadership, Mentorship, Organizational Skills, Academic Support.

References

References

Available on request

Projects

Implementation of Digital Predistortion Using Deep Learning Model

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Summary

Developed and evaluated a deep learning-based digital predistortion (DPD) system for an RF power amplifier, demonstrating advanced application of machine learning in physics research.