Variational Quantum Eigensolvers: A Practical ML Engineer's Guide
An accessible deep-dive into VQE circuit design, ansatz selection, and ML-guided optimization landscapes for practitioners coming from classical machine learning.
AI Engineer · Quantum ML Researcher · Technical Founder
By day, I train machines to think. By night, I convince them I'm still in charge. I build production AI systems, research quantum biosensors, develop medical imaging AI, and run engineering education programs — all from Kumasi, Ghana, for the world.
Expertise
I operate at the intersection of AI engineering, quantum computing, and physical sciences — bringing mathematical rigor and engineering discipline to frontier research problems.
End-to-end AI system design: LLM applications, agentic systems, MLOps pipelines, and production ML infrastructure. I build systems that scale.
Classical and deep learning model development — from exploratory data science to fine-tuning frontier models for specialized scientific domains.
Variational algorithms (VQE, QAOA), quantum-classical hybrid pipelines, error mitigation, and near-term NISQ device programming.
Physics-informed neural networks, neural ODEs, and scientific ML for solving differential equations, fluid dynamics, and materials simulation.
Published researcher with work in leading venues. Available for joint research, mentorship, workshops, and invited talks on frontier AI topics.
Projects
A selection of research projects, open-source tools, and engineering builds.
Dual-mode Graphene Quantum-Dot silicon nitride photonic biosensor achieving a simulated detection limit of 0.02 ng/mL for IL-6. Validated multiplexed detection of PCT, CRP, and IL-6 using IBM Qiskit quantum simulation models.
AI platform automating grad school applications with personalized guidance, SOP generation, and university matching. Built with multi-agent Autogen pipeline and GPT-4o backend.
Lightweight multistage deep learning framework for thyroid nodule segmentation on real-world ultrasound datasets (TN3K, DDTI). Achieved 71% Dice score with >70% faster inference via hardware-aware pruning & quantization. Deployed to Hugging Face Inference Endpoints.
Full-stack anonymous e-voting and ticketing platform with real-time analytics, custom CMS, USSD integration, and token-based pay-to-vote system. Features department-specific admin panels and super admin dashboard.
R&D Log
Deep dives into Quantum ML, Physics-informed AI, and frontier engineering — shared openly.
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Years of Experience
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