Teaching & Service
Mentorship and Educational Service
ARM Ambassador for AI & Edge Computing
Technical Educator and Workshop Leader
2023–Present
Leading technical workshops on edge AI inference optimization for ARM-based systems (Graviton, Ampere, Cortex series), supporting open-source communities in deploying efficient ML models.
- Delivered workshops on edge AI inference optimization for ARM architectures
- Supported open-source ML deployment initiatives across ARM-based platforms
- Provided technical guidance on efficient model deployment strategies
- Contributed to ARM developer community educational resources
HiveTensor Distributed AI Bootcamp
Workshop Organizer
2024
Partnered with KCA University to design and deliver hands-on curriculum on distributed training and edge AI inference for 50+ participants across East Africa.
- Designed comprehensive curriculum on distributed AI training
- Delivered hands-on sessions on edge AI inference techniques
- Reached 50+ participants from across East Africa
- Established collaborative partnership with KCA University
Research Team Supervision
Technical Lead
2024–Present
Supervision of research engineering team developing production machine learning systems, with emphasis on research methodology and reproducible practices.
- Established research protocols and documentation standards
- Supervised development of multilingual speech processing systems
- Mentored team members on experimental design and evaluation
- Facilitated knowledge transfer between research and engineering
Conference Presentations and Workshops
Deep Learning Indaba 2025
Poster Presentation · Kigali, Rwanda · 2025
Vociply: A Real-Time Voice-to-Voice Agentic System for African Business Automation Using LLMs
Showcased multilingual real-time inference system optimized for edge devices and low-resource environments, demonstrating practical deployment of LLM-based voice agents for African markets.
ARM Technical Workshops
Educational Workshop Series · Multiple Venues · 2024
Efficient Neural Networks for Edge Deployment
Workshop series covering model compression, quantization techniques, and deployment strategies for resource-constrained environments, emphasizing both theoretical foundations and practical implementation.
Applied Machine Learning Days Africa
Conference Attendance · USIU Kenya · 2024
Current Trends in ML Research and Applications
Participation in regional machine learning conference, engaging with African ML research community and exploring collaborative opportunities.
Collaboration Opportunities
I welcome discussions regarding research collaboration, doctoral program opportunities, and the application of continual learning and efficient neural architectures to practical problems.
Areas of Interest
- Continual learning and catastrophic forgetting
- Efficient neural architectures and model compression
- Edge AI and resource-constrained deployment
- Memory-efficient learning algorithms
- Joint research projects and publications
- Doctoral program applications and discussion
- Technical mentorship and knowledge dissemination
Contact: marwamasese@gmail.com