About Me
I'm an aspiring AI researcher passionate about advancing Audio AI and Conversational Systems with a focus on multilingual applications and edge deployment. With 5 years of industry experience bridging research and production, I'm dedicated to developing AI technologies that create meaningful impact, particularly for underserved communities and low-resource languages.
Currently serving as CTO at Vociply, I lead research initiatives in real-time voice processing systems while pursuing independent research in neural network optimization and multilingual AI architectures.
Research Focus Areas
Audio AI Models
Developing deep learning architectures that understand and generate human speech across multiple languages, with particular emphasis on African languages and low-resource scenarios.
Current Research:
- Multilingual voice processing pipelines
- Speech synthesis for underrepresented languages
- Real-time audio-to-audio transformation systems
- Data augmentation techniques for speech data scarcity
Conversational AI
Exploring the intersection of large language models and voice interfaces to create more natural, efficient human-AI interactions.
Current Research:
- Voice-to-voice agentic systems
- LLM optimization for conversational applications
- Prompt engineering for multilingual contexts
- Real-time response generation architectures
Edge AI Optimization
Researching efficient neural network architectures that bring advanced AI capabilities to resource-constrained environments.
Current Research:
- Hypernetwork optimization techniques
- Ternary neural network architectures
- Model compression for edge deployment
- Democratization of AI technology access
"Building bridges between cutting-edge AI research and meaningful real-world applications, with a commitment to democratizing access to advanced AI technologies."