Curriculum vitae
Emmanuel Kakari Ameyaw
Computer Science Undergraduate · Garden City University
Kumasi, Ghana · aemmanuelkakari@gmail.com · +233 54 285 4631
github.com/Emmanuelkk223 · linkedin.com/in/ameyaw-emmanuel-kakari · emmanuelkakari.tech
Research direction
Efficient AI: model quantization, mixed-precision deep learning, hardware-aware machine learning, and ML systems. Interested in how machine learning models can become smaller, faster, and more memory-efficient without unnecessarily sacrificing accuracy or reliability.
Education
Garden City University
2024 — Present
BSc Computer Science · fourth year, in progress · Kumasi, Ghana · GPA 3.73 / 4.00
Relevant coursework: Linear Algebra, Statistics & Probability, Numerical Analysis, Operations Research, Discrete Mathematics, Computer Organization & Architecture, Embedded Systems, Database Management Systems, Object-Oriented Programming.
Experience
Undergraduate Researcher
2026 — Present
Independent Research
- Study efficient AI, model compression, and quantization for transformer architectures.
- Run hardware-aware experiments and GPU benchmarks on a single consumer accelerator.
- Build reproducible measurement pipelines for accuracy, latency, and memory.
Machine Learning Developer
2025 — Present
Independent Projects
- Implement deep learning systems for vision and multimodal tasks in PyTorch, from data processing through training, evaluation, and analysis.
- Work on interpretability, uncertainty estimation, and evaluation methodology.
Robotics Club Leader
2026 — Present
Garden City University
- Support a student robotics community working on programming, embedded systems, and collaborative technical learning.
- Coordinate members and encourage hands-on projects that connect software, hardware, and intelligent systems.
Certifications
- Advanced Learning AlgorithmsDeepLearning.AI · 2026
- Supervised Machine Learning: Regression and ClassificationDeepLearning.AI · 2026
Research projects
QuantLab
In Progress · 2025 — Present
Hardware-aware mixed-precision quantization framework. A working research framework: sensitivity analysis, precision allocation, and GPU benchmarking in one reproducible loop.
Explainable Multimodal Medical AI
Completed · 2025 — 2026
Skin cancer risk stratification with uncertainty and fairness auditing. Multimodal fusion evaluated at patient level, with attribution, calibration, and demographic audits treated as first-class results.
Hardware-Aware Mixed-Precision Quantization for Transformers
In Progress · 2026 — Present
Bachelor's thesis. Extending the QuantLab methodology into a systematic study of how precision should be allocated across transformer components under a fixed hardware budget.
Other work
AI & Machine Learning Portfolio
2025 — Present
A running collection of machine learning experiments — data processing, model development, training, evaluation, and analysis — kept as a record of method rather than of results.
Developer & Research Portfolio
2026 — Present
This site: research interests, project write-ups, working notes, and technical work, maintained as its own small engineering exercise.
Planned work
BitFlex (adaptive precision transformer inference); EdgeFormer (hardware-aware transformer optimization for constrained devices); ParetoML (accuracy–efficiency optimization tooling); AutoQuant (automated transformer compression).
Skills
- Programming
- Python · C++ · Java · SQL
- Machine Learning
- PyTorch · Scikit-learn · NumPy · Pandas · Deep Learning · Supervised Learning
- AI & Research
- Neural Networks · Computer Vision · NLP · Explainable AI · Model Quantization · Optimization · Experimental Design
- Systems & Computing
- Linux · CUDA · NVIDIA GPUs · Git · Docker · Virtualization
- Development
- GitHub · VS Code · Neovim · LaTeX · REST APIs · Database Systems
- Mathematics
- Linear Algebra · Probability · Statistics · Numerical Analysis · Optimization · Discrete Mathematics
Hardware
NVIDIA RTX 4060 Laptop GPU — 8GB VRAM · CUDA · Linux
Note
No publications. This is an undergraduate research portfolio: projects, a thesis in development, technical notes, and experiments.