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Maqsudhat Bisiriyu

@maqsudhatbisiriyu

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I build machine learning and data pipelines for medical imaging, fraud detection, and applied AI research.

Nigeria

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What I'm looking for

I'm looking for internship, contract, or remote opportunities where I can build and evaluate machine learning models, work with large datasets and data pipelines, and contribute to applied AI research.

At MIT Critical Data and the MoDRIA Initiative, I design preprocessing and quality-control workflows for a multi-country retinal imaging database and apply semi-supervised learning to retinal fundus classification. I also support secure data pipeline design for AI research spanning Uganda and Kenya.

I've built cancer early-detection models with 91% accuracy, fraud-detection algorithms that reduced transaction fraud by 30%, and backend APIs supporting 5,000+ daily transactions. Alongside research in computer vision, graph neural networks, and cybersecurity, I teach MATLAB, LaTeX, and scientific computing and facilitate AI research learning for peers.

Experience

Work history, roles, and key accomplishments

Current

Research Assistant

Current

MIT Critical Data & MoDRIA Initiative

Jul 2025 - Present (1 year 3 months)

Design and maintain data preprocessing and quality-control steps for a large multi-country medical imaging dataset used in AI research. Apply semi-supervised learning to classify retinal fundus images and support secure data pipeline design.

data preprocessing Quality Control Semi Supervised Learning Medical Imaging Data Pipelines Python TensorFlow PyTorch

Current

Peer Technical Instructor

Current

FUNAAB

Jan 2024 - Present (2 years 9 months)

Led peer training sessions in MATLAB, LaTeX, and scientific computing for undergraduate mathematics classmates.

Matlab LaTeX Scientific Computing Teaching Mentorship

Peer Reviewer

AAAI 2026 (AI4Research & AI Bridge MedHealth Workshops)

Jan 2026 - Dec 2026 (11 months)

Reviewed 13 technical papers against structured evaluation criteria.

Peer Review Technical Evaluation Research

Organizer & Facilitator

G-SPARK AI/ML Research Crash Course

Feb 2026 - Feb 2026 (0 months)

Designed and delivered bootcamp sessions for 45 undergraduate and early postgraduate students across four African countries.

AI ML Education Bootcamp Design Facilitation Curriculum Development

Weekly Facilitator

Harvard CS197 AI Research Experiences, ML Collective Africa

Jan 2025 - Dec 2025 (11 months)

Facilitated weekly sessions guiding beginners through Harvard's AI research curriculum.

AI Research Facilitation Mentorship Curriculum Delivery

Software Engineering Intern

eTranzact International PLC

Jul 2024 - Oct 2024 (3 months)

Built fraud-detection algorithms that reduced transaction fraud by 30%. Optimized backend APIs, reducing response time by 25% for 5,000+ daily transactions, and reviewed and labeled transaction data to support rule development.

Fraud Detection Backend Development API Optimization Data Labeling Python SQL

Data Science Researcher

Pioneer Academics / University of Florida

Feb 2023 - Jul 2023 (5 months)

Developed breast and cervical cancer early-detection ML models with 91% accuracy. Collected, cleaned, and labeled medical imaging data for model training and authored a 27-page research paper graded A by faculty reviewer.

Machine Learning Medical Imaging Data Collection Data Cleaning Data Labeling Python scikit learn