Responsibilities include:

• Worked on multi robot planning and subtask allocation.
• Human Robot Colalboration for teamed object relocation.

Responsibilities include:

• Worked on Behaviour Coding and acivity detection and recognition using videos of therapy sessions for children with Autism, to classify the severity of their condition.

Responsibilities include:

• Working at Sensing, Learning, and Understanding for Robotic Manipulation (SLURM) Lab at University of Southern California (USC) on Caregiving Robots, Plant Manipulation
• Working on robotic manipulation in contact rich scenarios and leveraging trajectory optimisation for planning.
• Building a simulation for scooping particular particles in a clustered environment.
• Building a solution to enable robotic assistance for dressing of patients with muscular dystrophe and other neuro immune conditions

Responsibilities include:

• Performed a Comparative study across Mixed reality and Virtual reality based remote welding Digital twin applications and mapping the coordinates defined for welding movement to the robot coordinates using regression technique.
• Built an assistive Assembly Process Instruction tool in collaboration with Collin’s Aerospace, where Computer Vision is used to detect the components. Involved extensively in this stage of the project, which enabled me to understand various types of object detection algorithms in Computer Vision, study various object detection models(YOLO V5, YOLO V7, DETR, YOLOV8) and different versions of the same. Instructions and warnings based on a defined Assembly Process are provided to the user in a mixed reality application; after the detection of the components.
• Built a custom dataset for the components in hand and got experience in the various pre-processing steps involved with creating the dataset, with real and synthetic images. Tried different augmentations on the dataset created.
• Worked on analysing and comparing different anchoring techniques to handle the swimming effect of Holograms in a mixed reality application built for Hololens.
• Developed a semantic segmentation model designed for robust object detection in complex and unstructured environments, critical for improving autonomous system safety and efficiency. A dynamic fusion mechanism based on confidence scores allows adaptive performance in changing conditions. Evaluated on the Indian Driving Dataset (IDD) and the Cityscape dataset, the model surpasses four state-of-the-art methods, achieving 12.91% and 19.7% better F1 scores, respectively.

Responsibilities include:

• Built reuse services in Data Privacy and Protection kernel service team at SAP that enables businesses to be compliant with GDPR and similar regulations.
• Built Springboot, Java, Node.js applications that were deployed on Cloud Foundry with a strong process driven team that followed Agile methodologies.
• Lead Devops activities in the team, by ensuring deployment ready code-base at the end of the sprints, orchestrating the release of the services and sanitization of the code base through multiple scans(Blackduck, WhiteSource, etc).
• Led new data centre deployments for release of services, ensurng seamless expansion and usgae of our services by customers

Responsibilities include:

• Worked on various reuse services( including Personal data Manager and Data Privacy Integration) built to archive and handle data of end users, analysed various consumption scenarios along with supporting customer incidents.