AI/ML Engineer & Software Developer
AI/ML Developer & Software Engineer | Building AI-Powered Applications & Scalable Systems
I build and deploy AI/ML systems and scalable software that transform patterns hidden in data into useful intelligence.
About Me
A systems-minded ML engineer focused on turning research into reliable production AI.
I'm an AI/ML Engineer and Software Developer passionate about building intelligent systems and scalable software solutions. I specialize in machine learning, deep learning, data engineering, and modern web development to turn ideas into impactful products.
PythonExpert
TypeScriptAdvanced
Next.jsAdvanced
JavaIntermediate
FastAPIAdvanced
Express JSIntermediate
DjangoAdvanced- Spring BootIntermediate
Machine LearningAdvanced
Engineering Stack
The tools and frameworks powering production-grade AI and software systems.
MLOpsPythonTypeScriptNext.jsMLOpsPythonTypeScriptNext.jsMLOpsPythonTypeScriptNext.jsMLOpsPythonTypeScriptNext.jsFastAPIExpress JS
SQLDjangoDocker
Spring BootFastAPIExpress JSSQLDjangoDockerSpring BootFastAPIExpress JSSQLDjangoDockerSpring BootFastAPIExpress JSSQLDjangoDockerSpring BootPROJECTS
Dinely
Restaurant Management SaaS
Restaurant management platform designed to help restaurants streamline operations, manage orders and services, and make smarter decisions using intelligent automation.
TypeScriptNext.js
Tailwind CSS94.2%
Accuracy
10x
Time Saved
1,200+
Clients Served
Experience
My academic journey and independent project development in AI/ML.
2026 - Now
Independent AI / ML Developer
Rwanda Coding Academy - Second Year
- Designing and developing AI/ML solutions for real-world applications.
- Experimenting with machine learning, deep learning, NLP, computer vision, LLMs, and generative AI.
- Developing and evaluating models through data preprocessing, training, validation, and performance analysis.
- Exploring LLM fine-tuning, RAG pipelines, and AI model deployment.
- Continuously researching emerging AI techniques and applying them through hands-on projects.
2025 - 2026
AI & Machine Learning Student
Rwanda Coding Academy - First Year
- Studying the mathematical and computational foundations of Machine Learning and Artificial Intelligence.
- Developing practical skills in supervised learning, unsupervised learning, deep learning, NLP, computer vision, and generative AI.
- Implementing machine-learning concepts from scratch using Python and NumPy to develop a deeper understanding of how models work.
- Building AI projects that apply machine learning to real-world problems.
- Exploring modern AI technologies including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), model fine-tuning, and speech AI.
- Working with frameworks and tools including TensorFlow, Keras, PyTorch, Hugging Face, and Python ML libraries.
Testimonials
What collaborators say about working together on production AI systems.
“PulseRank delivered measurable engagement lift within weeks. Honore's systems thinking and experimentation culture raised the bar for our entire team.”
BATAKARIZA Jane
Director of Data, RetailNova
“Honore delivered ForestGuard with remarkable rigor. The model accuracy and production readiness exceeded our expectations and directly accelerated our conservation work.”
Don Jesus
Head of AI, GreenEarth Labs
“Working with Honore on MedLLM was transformative. He bridges research-grade NLP with practical clinical constraints better than anyone I've collaborated with.”
IHIMWE Rocky
CTO, HealthSync