I Have a wide knowledge of many scientific and technological fields. Mainly interested in Deep Learning, Computer vision.
I'm currently doing research in high energy physics and deep learning and liveness detection.
I'm a fast learner, motivated and ready to learn anything new.
• Applied transfer learning to achieve data efficiency while training on stereo video data. created a pipeline to collect and preprocess the data for the task. used augmentation to optimize
training efficiency. implemented different architectures for
solving the liveness problem using: Depth map generative models, optical flow generative models, texture analysis.
• Participated in the development of products as an Embedded System Engineer, designing and testing of PCB designs,
low-level software development for ARM Processors, drivers
development, device trees, kernel modifications, debugging
hardware using Oscilloscopes, spectrum analyzers, function
generator), implementing GNSS systems and communications
using WiFi, 2G, 3G, 4G LTE.
Petroleum, chemical, mechanical, electrical, engineering.
Mathematics, Numerical methods.
High-performance computing HPC.
Oil reservoir simulation.