Professional Experience

Key Highlights

Key Achievements

• Research activities on the development of generative models for synthetic mobility traces generation
• Collaboration with multidisciplinary teams to deliver production-ready ML solutions
• Implementation of data pipeline, MLOps

Key Highlights

Key Achievements

• Developed state-of-the-art cGAN and diffusion models for radio map prediction, achieving 2.5 dB RMSE
• Applied combinatorial optimization algorithms for automatic access point placement
• Built web demonstration tool using React.js and Flask for research showcase
• Supervised Master's thesis on automatic building plan vectorization using deep learning
• Published 3 international conference papers and 3 national symposium papers
• Teaching at University: Wireless communication systems, Linux programming, and C programming

Key Highlights

Key Achievements

• Developed from scratch novel deep learning architecture for multi-spectral and hyper-spectral image fusion
• Enhanced temporal resolution of Sentinel-2 multi-spectral images using Sentinel-3 hyper-spectral data
• Gained expertise in advanced image processing and time series analysis techniques
• Acquired skills in handling large-scale satellite imagery datasets