Programming, testing, documenting, and integrating computer-vision algorithms on new and existing software projects by providing support to current C++ software in the loop integration and Identify use-cases for an autonomous system based on system requirements and developing deep learning-based modals to increase system efficiency.

● Integrated a simultaneous localization and mapping solution for achieving forklift autonomy by diagnosing software and hardware problems and tracking quality occurrences along with Wi-Fi-based localization for increasing pose accuracy and storing the database on Grafana and AWS by packaging software using docker.

Provided support for warehouse operation by evaluating different sensors and algorithms to boost up autonomy solution and developed ROS based gazebo simulation for testing the software and localization algorithm development by doing masking using CNN and estimating mono-depth from DPT transformer.

● Contributed to evaluations for tests that leverage simulation and real-world testing frameworks and deploy them at scale. analyzed test results to identify performance and functional gaps in the system.