• Developed algorithms for autonomous food delivery by a mobile robot using ROS and Gazebo for simulation as well as the autonomy stack behind the autonomous mobile robots (motion control, path planning, localization and SLAM).

• Implemented Convolutional Neural Network (CNN) models to detect small ships in SAR imagery (large-scale remote sensing images) using Detectron2 API, which is an open source object detection toolbox powered by PyTorch.

• Implemented various motion planning methods including search-based methods (e.g. A*), sampling-based methods (e.g. PRM, RRT, RRT-Connect), and trajectory optimization.

• Implemented algorithms related to state-based models (like Graph search algorithms, Markov decision processes (MDPs), adversarial games) and variable-based (graphical) models (like constraint satisfaction problems (CSPs), factor graphs, Markov networks, Bayesian networks).

• Involved in all aspects of commercial software development and software release process, including design, development, implementation, testing, verification, and documentation.

• Involved in code reviewing, software testing, bug fixing/debugging, code optimization in terms of speed and memory, and performance improvement to ensure delivery of a high-quality, high-performance software.

• Performance improvement and speeding up the execution of the code using Intel VTune Amplifier and OpenMP for performance profiling and parallel programming.

• Developed an Extended Finite Element (XFEM) code for static and dynamic analysis and numerical simulation of initial boundary value problems in solid mechanics/geomechanics with strong and/or weak discontinuities.

• Numerical modeling of multi-physics problems and solving the governing partial differential equations (PDEs) and the resulting system of fully coupled nonlinear equations using an iterative solution procedure (dense/sparse).

• Introduced the application of XFEM to numerical modeling and simulation of the hydraulic fracturing problem in multi-phase porous media.