Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

I’m Akoto-Nimoh Christine Serwaa, an AI/ML engineer focused on building and deploying deep learning systems for medical imaging. I’ve led AI development on Idoni, a clinical decision-support platform for adolescent idiopathic scoliosis, working with King Faisal Hospital in Rwanda to validate AI tools in a clinical setting. I’m passionate about turning data into practical, scalable solutions that improve patient care. I’m proficient in PyTorch, computer vision, and the full ML lifecycle from data curation to deployment. I enjoy collaborating with cross-functional teams to translate research into real-world healthcare applications and to advance AI for healthcare, especially in resource-limited settings.…I’m Akoto-Nimoh Christine Serwaa, an AI/ML engineer focused on building and deploying deep learning systems for medical imaging. I’ve led AI development on Idoni, a clinical decision-support platform for adolescent idiopathic scoliosis, working with King Faisal Hospital in Rwanda to validate AI tools in a clinical setting. I’m passionate about turning data into practical, scalable solutions that improve patient care. I’m proficient in PyTorch, computer vision, and the full ML lifecycle from data curation to deployment. I enjoy collaborating with cross-functional teams to translate research into real-world healthcare applications and to advance AI for healthcare, especially in resource-limited settings.

Akoto-Nimoh Christine Serwaa

AI Developer, Data Scientist, Full Stack Developer, +2





I’m Akoto-Nimoh Christine Serwaa, an AI/ML engineer focused on building and deploying deep learning systems for medical imaging. I’ve led AI development on Idoni, a clinical decision-support platform for adolescent idiopathic scoliosis, working with King Faisal Hospital in Rwanda to validate AI tools in a clinical setting. I’m passionate about turning data into practical, scalable solutions that improve patient care. I’m proficient in PyTorch, computer vision, and the full ML lifecycle from data curation to deployment. I enjoy collaborating with cross-functional teams to translate research into real-world healthcare applications and to advance AI for healthcare, especially in resource-limited settings.…I’m Akoto-Nimoh Christine Serwaa, an AI/ML engineer focused on building and deploying deep learning systems for medical imaging. I’ve led AI development on Idoni, a clinical decision-support platform for adolescent idiopathic scoliosis, working with King Faisal Hospital in Rwanda to validate AI tools in a clinical setting. I’m passionate about turning data into practical, scalable solutions that improve patient care. I’m proficient in PyTorch, computer vision, and the full ML lifecycle from data curation to deployment. I enjoy collaborating with cross-functional teams to translate research into real-world healthcare applications and to advance AI for healthcare, especially in resource-limited settings.

Available to hire

I’m Akoto-Nimoh Christine Serwaa, an AI/ML engineer focused on building and deploying deep learning systems for medical imaging. I’ve led AI development on Idoni, a clinical decision-support platform for adolescent idiopathic scoliosis, working with King Faisal Hospital in Rwanda to validate AI tools in a clinical setting. I’m passionate about turning data into practical, scalable solutions that improve patient care.

I’m proficient in PyTorch, computer vision, and the full ML lifecycle from data curation to deployment. I enjoy collaborating with cross-functional teams to translate research into real-world healthcare applications and to advance AI for healthcare, especially in resource-limited settings.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Lead AI Developer at Idoni

January 1, 2025 - Present

AI + IoT platform for early detection and monitoring of adolescent idiopathic scoliosis. Designed and trained a DenseNet121 + SVM hybrid classifier for scoliosis screening from spinal images, achieving 95% accuracy on validation data. Built a ResNet50 backbone with a regression head for Cobb angle measurement (MAE 3.4°). Drove end-to-end data curation, augmentation, normalization, and pipeline deployment; integrated ESP32 + MPU-6050 wearable; deployed on Vercel with MongoDB Atlas; documented experiments and limitations for clinical validation.

AI Developer at Eleka Inc.

June 1, 2024 - October 1, 2024

Designed and implemented AI models to optimize business processes and enhance decision-making; collaborated with cross-functional teams to integrate AI solutions into scalable applications.

Data Scientist Intern at Only Quality Data

January 1, 2025 - April 1, 2025

Developed a Heart Disease Prediction model using classical ML, improving diagnostic signal extraction from tabular clinical features; refined models iteratively with mentors, tuning hyperparameters and evaluating with stratified cross-validation.

Data Analyst Intern at Only Quality Data

September 1, 2024 - December 1, 2024

Analyzed customer churn and employee attrition using Power BI and DAX; designed interactive dashboards for budgeting and financial planning; produced actionable retention recommendations.