Transformers in Low-Resource NLP
Exploring efficient transformer architectures for languages with limited digital resources. Our approach reduces parameters by 60% while maintaining 95% accuracy.
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Technologies used in the project
AI Researcher & Android Developer
Creating intelligent systems and beautiful mobile experiences
Explore my latest Android applications and development projects
Real-time translation app using on-device ML with support for 42 languages and offline capability.
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Latest publications and research projects in artificial intelligence
Exploring efficient transformer architectures for languages with limited digital resources. Our approach reduces parameters by 60% while maintaining 95% accuracy.
New differential privacy techniques for federated learning systems that improve privacy guarantees without sacrificing model performance on edge devices.
Implementing spiking neural networks on neuromorphic hardware for energy-efficient AI at the edge. Achieved 40x power reduction compared to GPUs.
Professional experience and technical skills
NeuroTech Innovations
Leading mobile AI integration projects, developing on-device ML solutions, and optimizing neural networks for mobile deployment.
TechGlobal Solutions
Developed and maintained 12+ Android applications with over 5M downloads. Implemented CI/CD pipelines and modern architecture patterns.
MIT Computer Science & AI Lab
Contributed to NLP research projects focusing on low-resource language processing and transformer model optimization.
Amazon Web Services
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