I design AI systems for language, perception, autonomy, and next-gen humanβmachine interaction β systems that don't stay in papers, demos, or labs, but operate in real environments, with real constraints, for real people.
| Β | Achievement | Details |
|---|---|---|
| π₯ | 1st Place | Africastalking Γ Google Africa Hackathon |
| π₯ | 3rd Place | AT4D Hackathon 2026 |
| π | Top 10% Global | AWS DeepRacer Global League |
| βοΈ | Selected | AWS Startup Ecosystem β Sema Labs |
| π | Grant Winner | Adaption Labs β Inaugural Cohort |
| π | Certified | AWS Β Β·Β Google Cloud Β Β·Β Microsoft |
| π€ | Community Tech Lead | Active mentor & ecosystem builder |
STATUS: ACTIVE Β· AWS STARTUP ECOSYSTEM Β· PRODUCTION-GRADE ML
Selected into the AWS startup ecosystem to build scalable, production-grade applied ML systems. Focus: real-world AI infrastructure that deploys, performs, and endures.
STATUS: AWARDED Β· INAUGURAL COHORT Β· HIGH-IMPACT AI
First-cohort awardee. Building AI tools for underserved and emerging environments β where intelligent systems aren't a luxury, they're a lifeline.
Six systems. One mission: real-world AI that works.
An AI assistant that understands and speaks Kenyan local dialects β built from the ground up for low-resource language environments. Combines large language models with custom dialect training for seamless voice and text interaction.
| Feature | Detail |
|---|---|
| π― Purpose | Daily communication, not demos |
| π Focus | Cultural preservation + accessibility |
| π Interface | Voice + text, built for real users |
| π§© Differentiator | Local dialect understanding, not just major languages |
The flagship project developed inside the Sema Labs AWS Startup Program. A full AI platform for Central & East African language access with a core mission of implementing local dialects β going beyond national languages into the granular, living linguistic fabric of the region.
| Component | Description |
|---|---|
| ποΈ Dataset Pipelines | Low-resource dialect data collection & processing |
| π Translation Layer | Cross-dialect + cross-language translation infrastructure |
| 𧬠Language Modeling | Fine-tuned models on regional dialect corpora |
| π‘ Deployment | Scalable cloud infrastructure via AWS |
"Bridging language inequality with AI β one dialect at a time."
Neural signal-driven control interface featuring experimental EEG-style input classification and real-time brainwave pattern interpretation. The physical world disappears β cognitive intent becomes the input layer.
| Capability | Detail |
|---|---|
| β‘ Input Method | Neural signals β zero physical peripherals |
| π§ Classification | Real-time EEG-style pattern recognition |
| βΏ Application | Accessibility tech + human-computer fusion |
| π¬ Status | Experimental Β· Pushing the frontier |
An intelligent AI assistant capable of managing phone calls end-to-end, powered by LLaMA 3.1 and integrated with local dialect voice synthesis β making AI communication accessible in the languages and accents people actually speak.
Not a chatbot. A full conversational agent, built for the phone call β Africa's most used communication channel.
Innovative gesture tracking system using open-source ML models for real-time, in-environment control. A novel human-computer interaction interface β no keyboard, no mouse, no contact. Just deliberate motion.
Lane detection and steering logic system with a simulated autonomous decision-making pipeline. Converts raw visual input β real-time driving control signals using applied reinforcement learning. Top 10% globally in the AWS DeepRacer Global League.
| Skill | Level | Proficiency |
|---|---|---|
| Python | Expert | ββββββββββ |
| TensorFlow | Advanced | βββββββββΒ· |
| PyTorch | Advanced | βββββββββΒ· |
| Computer Vision | Core | βββββββββΒ· |
| AWS | Cloud-Native | βββββββββΒ· |
| Signal Processing | Emerging | ββββββββΒ·Β· |
Writing at the intersection of AI systems, African innovation, and applied ML storytelling β translating dense research into sharp, accessible engineering insight.
- π Β Translating complex AI research into clear engineering narratives
- π Β Amplifying Africa's deep-tech ecosystem to a global audience
- π Β Bridging builders and public understanding of what AI actually does
| Role | Impact |
|---|---|
| π§βπ« Β Mentor | Developing the next generation of African ML engineers |
| ποΈ Β Builder | Active hackathon contributor across the ecosystem |
| π’ Β Advocate | AI education, accessibility & democratisation |
| π± Β Ecosystem | Growing applied ML talent across the continent |
class AIBuilder:
def __init__(self):
self.name = "Ray"
self.goal = "Build systems that survive reality"
self.focus = [
"Low-resource language & dialect AI",
"Neural + cognitive interfaces",
"Autonomous systems",
"Deployable ML infrastructure",
"Ethical, accessible AI development",
]
def execute(self, idea: str) -> str:
return f"Turning {idea} β production-grade reality"
ray = AIBuilder()
print(ray.execute("African dialect AI"))
# β¦ "Turning African dialect AI β production-grade reality"
print(ray.execute("neural control interfaces"))
# β¦ "Turning neural control interfaces β production-grade reality"βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
β β
β AI that serves the people who need it most. β
β β
β Not prototype intelligence β deployed intelligence. β
β β
β Built for real environments. β
β Real constraints. β
β Real impact. β
β β
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
"Innovation is not just about technology β it's about solving real-world challenges." Β π
βββββββββββββββββββββββββββββββββββββββββββββββββ
β β
β BUILD β DEPLOY β IMPACT β
β β
βββββββββββββββββββββββββββββββββββββββββββββββββ
"Innovation is not just about technology, it's about solving real-world challenges" π