Developing scripts in Python and/or C++ for modeling simulated environments in MuJoCo simulator and using these environments for training artificial agents for various tasks.

Developing microservices for data storage and data transfer between different components of the system over the AWS cloud platform using MongoDB.

Tutoring masters students, grading their homework and exams for Data Visualization class.

Guiding students with their master's projects related to the subject.

Developed and tested next-generation Android-based in-vehicle infotainment system applications, including Audio, Radio, and Sonar, using the Automotive Android Open Source Project (AOSP), Jetpack components, R-Car board, and MVVM architecture pattern.

Development of pilot projects such as language switching, region-specific implementation, and others that led to converting a Linux-based system into an infotainment system running on Android OS.

Was part of a team that worked towards creating an interface layer between HMI (Human Machine Interface) and Middleware for In-Vehicle Infotainment System by adhering to guidelines of GenIVI Alliance.

Designed and implemented robust APIs for the Middleware Abstraction Layer to enhance communication and optimize performance between various layers of the In-Vehicle Infotainment system architecture.

Trained in full-stack web application development of the In-Vehicle Infotainment system. Used HTML 5, CSS, and JavaScript for the Vehicle Interface layer, and Apache Thrift for Middleware as it communicates with Business Logic through services made in C++.