I am currently pursuing MS in Data Science and Engineering at EURECOM. I am experienced in research and development of AI models, tuning parameters and creating pipeline.
· Implementing Machine Learning and Deep Learning models
· Tuning and defining metrics for the models
· Writing software pipeline for AI/ML tasks
· Performing research and development of AI/ML usecase
· Strong leadership skills and experience managing research professionals on collaborative projects resulting in 10+ publications, 10+ projects, and EUR 40,000 in lab grant funding
· Mentorship experience from clearly communicating complex topics to diverse audiences and student members of the lab
· Indoor localization using sensor fusion from UWB radio beacons, IMU and Odometer sensor utilizing two stage EKF done for SLAM box
· Sound technical grasp, end-to-end task ownership, and strategic implementation demonstrated by completing the full scale software development from ideation to completion for the FOXCONN mobile robot under prof. Howie Choset
· Excellent teamwork, collaboration, data driven decision making skills demonstrated by managing a multifaceted IoT research project under prof. Shingo Yamaguchi
· Resulting in the development of 2 international collaborations and publication in 2 high impact IEEE conferences
GPA: 3.7/4
Study of wide versus deep neural networks for adversarial attacks against face recognition using explainability
SpectralNET: Exploring Spatial-Spectral WaveletCNN for HyperSpectral Image Classification (State-of-the-art) [published]Machine learning algorithms for automatic tuning and uncertainty quantification, with application to traffic simulations using bayesian optimization method, HUAWAI.
GPA: 8.7/10