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Chekwube Utomi

@chekwubeutomi

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Mathematics-first machine learning specialist building GNNs, optimized GPU computing, and data modeling pipelines.

Nigeria

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What I'm looking for

I’m looking to deliver high-impact technical support and specialized training for data-driven organizations—using advanced machine learning, deep learning, and optimized GPU computation to build robust analytics and modeling pipelines.

I’m a Mathematics graduate and Google DeepMind Scholar specializing in advanced machine learning, deep learning architectures, and scientific computing. I’m currently pursuing an M.Sc. in Mathematical Science (AI for Science), with distinctions in “CUDA Programming for NVIDIA GPUs,” “The Evolution of Deep Learning,” and “Machine Learning Operations/MLOps.”

I build graph-based learning systems—engineering Graph Neural Networks (GNNs) and Multilayer Perceptrons (MLPs) in PyTorch to model multi-dimensional relational topologies and structural features. In my work, I design graph encoding and feature vector pipelines to capture temporal and spatial interdependencies, then evaluate performance using metrics like MSE and MAE.

I also translate models into fast, scalable computation. I implemented an optimized C++ and CUDA Monte Carlo pipeline on NVIDIA GPUs for multi-asset correlated systems under strict latency limits, managing GPU memory transfers, synchronization, and resource usage—while demonstrating substantial acceleration over CPU approaches.

Beyond research, I’ve supported real-world decision-making through data workflows. As a Data Analyst, I programmed predictive analytics frameworks and operational dashboards across millions of transactional records and ran systematic A/B testing to validate strategy shifts—backed by years of teaching continuous mathematics (including calculus, probability, and vector statistics).

Experience

Work history, roles, and key accomplishments

Data Analyst

Sundry Markets Limited

May 2024 - Sep 2025 (1 year 4 months)

Engineered predictive data workflows and analytics frameworks to model structural behavior patterns using advanced metrics. Programmed operational dashboards and conducted A/B testing to validate strategy shifts across millions of transactions.

Predictive Analytics Dashboarding A B Testing Metrics Analysis Data Analytics

Mathematics Teacher

Starlets Academy

Oct 2014 - May 2024 (9 years 7 months)

Instructed advanced high school mathematics including Calculus, Geometry, Probability, and Vector Statistics. Managed student evaluation matrices and database systems to track long-term cognitive trends.

Mathematics Instruction Calculus Geometry Probability Vector Statistics Student Assessment

Mathematics Teacher

Wisdom Gate International

Oct 2014 - May 2024 (9 years 7 months)

Mathematics Instruction Calculus Geometry Probability Vector Statistics Student Assessment

Mathematics Teacher

Jephthah Comprehensive

Oct 2014 - May 2024 (9 years 7 months)

Mathematics Instruction Calculus Geometry Probability Vector Statistics Student Assessment

Education

Degrees, certifications, and relevant coursework

African Institute for Mathematical Sciences (AIMS) & Stellenbosch University

Master of Science, Mathematical Science (AI for Science)

2025 - 2026

Grade: Distinction (Average: 75%)

Activities and societies: Google DeepMind Scholarship (Highly competitive). Coursework included: The Evolution of Deep Learning, CUDA Programming for NVIDIA GPUs, MLOps, and Matrix/Tensor Factorization Techniques (all Distinction).

Earned an M.Sc. in Mathematical Science (AI for Science) at AIMS & Stellenbosch University, supported by a Google DeepMind Scholarship. Thesis focused on new ML-based approaches for quantum error mitigation.

Federal University of Petroleum Resources Effurun (FUPRE)

Bachelor of Science, Mathematics

2009 - 2013

Grade: First Class Honours (GCPA: 4.58/5.00)

Activities and societies: Recognized as Best Graduating Student (Valedictorian across department).

Completed a B.Sc. in Mathematics (First Class Honours) at FUPRE, graduating as valedictorian/best student. Thesis covered regression analysis of seismic time-depth data.