Research
Reading Support: Intelligent Text Simplification
Research Project at HAIS Lab - Berner Fachhochschule
Assisted in developing an intelligent reading assistance system that transforms complex texts into more accessible formats while maintaining the original meaning and enhancing comprehension through AI-powered features.
Key Features
- Text simplification
- Content restructuring
- Essential points extraction
- Interactive Q&A support
Technical Stack
- Large Language Models
- Natural Language Processing
- JavaScript/Node.js
- Machine Learning Models
- Web Technologies
Research Focus
Investigated how AI can enhance reading comprehension while maintaining natural reading flow. Developed algorithms for intelligent text transformation and studied the impact on user understanding and engagement.
Web Based Interface
4 Unique Features of reading support
SketchAI: AI-Powered Digital Art Assistant
Research Project at HAIS Lab - Berner Fachhochschule
Assisted in developing an innovative iPad application that transforms artists' sketches into polished digital artwork using advanced AI technologies. Built with a focus on preserving artistic intent while enhancing creative possibilities.
Key Features
- Real-time sketch enhancement
- Multiple AI model integration
- Style transfer capabilities
- Custom ControlNet implementation
- Non-destructive editing workflow
Technical Stack
- PyTorch for model training
- Swift/SwiftUI for iPad app
- Core ML optimization
- Custom ControlNet architecture
- Cloud processing integration
Research Focus
Assisted in investigating advanced ControlNet architectures and neural rendering techniques for improved artistic control and style preservation. Exploring real-time performance optimizations and novel human-AI collaboration paradigms in creative workflows.
SketchAI User Interface
Swift Implementation available on iOS
Natural Language Processing
KRDB Research Centre Project with Prof. Enrico Franconi
Advanced natural language processing system focusing on semantic understanding and speech synthesis, developed at the KRDB Research Centre.
Key Features
- Semantic analysis engine
- Neural text-to-speech
- Multi-language support
- Real-time processing
- Context-aware responses
Technical Stack
- Python NLP libraries
- TensorFlow & PyTorch
- BERT & Transformer models
- Speech synthesis APIs
- Knowledge graphs
Research Impact
Developed novel approaches to natural language understanding and generation, with applications in automated response systems and semantic web technologies.
Smart Watch Behavioral Biometrics
Masters Project with Prof. Attaullah Buriro
A novel authentication system utilizing smartwatch sensor data and deep learning to provide continuous, non-intrusive user verification based on natural movements and behavioral patterns.
Key Features
- Real-time authentication
- Multi-sensor data fusion
- Behavioral pattern analysis
- Energy-efficient processing
- Adaptive learning system
Technical Stack
- TensorFlow for model training
- WatchOS development
- Sensor data processing
- Signal processing algorithms
- Secure data handling
Research Impact
Published in international conference proceedings, demonstrating significant improvements in continuous authentication accuracy while maintaining user privacy and device battery life.
Mobile Authentication Application Documentation
Publications
DeepClap: A Gesture-Based User Authentication Scheme
Buriro, Attaullah and Mwaita, Kevin Fred
View Paper →Emotion-Aware In-Car Feedback: A Comparative Study
Mwaita, K.F.; Bhaumik, R.; Ahmed, A.; et al.
View Paper →Interaction with a 3D Surface for an Innovative Input Experience
Bhaumik, R.; Mwaita, K.F.; Solaroli, F.; et al.
View Paper →Technical Expertise
Mobile Development
AI, Big Data & Machine Learning
Full Stack
Experience
Research Projects
Biometrics Authentication System
Masters Project with Prof. Attaullah Buriro
• Developed novel smartwatch-based authentication system
• Implemented deep learning algorithms for pattern recognition
• Achieved high accuracy in user identification
• Published in international conference proceedings
Natural Language Processing Capstone
KRDB Research Centre - Prof. Enrico Franconi
• Developed advanced text-to-speech system
• Implemented NLP algorithms for semantic understanding
• Created innovative speech synthesis solutions
• Worked with KRDB research team
Professional Experience
Developer
BGS Group
• Developed custom Shopify applications and themes
• Created specialized e-commerce solutions
• Managed client websites and integrations
• Implemented performance optimizations
Technical Lead
CropNuts
• Led development of agricultural testing mobile app
• Implemented real-time data synchronization
• Designed offline-first architecture
Website Developer & Entrepreneur
Freelance
• Developed and flipped 50+ successful websites
• Created lottery and e-commerce platforms
• Implemented SEO and marketing strategies
• Managed complete website lifecycles
Education
PhD in Computer Science
Freie Universität Bozen
2022 - Present
Visiting Researcher
Berner Fachhochschule - HAIS Lab
2024
Masters in Data Science
Freie Universität Bozen
2020 - 2022
Bachelor of Information Systems
United States International University
2011 - 2015
50+
Website Developed
15+
Years Experience
3
Research Papers