About

Help enterprises build a data platform and creating a data-informed culture in a way that empowers people to answer their own questions and make decisions based on findings. Act as a lead on projects, especially ones that require research and data analysis from a software development perspective. Develop, test, and maintain highly scalable data architectures to keep data accessible and ready for analysis. Build high-performance algorithms, prototypes, predictive models and proof of concepts. Research opportunities for data acquisition and new uses for existing data. Recommend ways to improve data reliability, efficiency, and quality. Reviewer for International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), Thailand-Japan International Academic Conference (TJIA), Frontiers of Information Technology (FIT). Member of IEEE since 2009. Specialties: Machine Learning, Computer Vision, Image Processing, Robotics, Data Science, Data Engineering, Web Development