Working in operations, process and efficiency that enable a consistent experience for our guests by ensuring guests get what they want, when they want it, and how they want it.

BUDDI AI is the leading provider of clinical and revenue cycle automation solutions for healthcare using Artificial Intelligence, follows macromanagement culture. We explored following research topics: 1. Fusing domain knowledge in Deep learning models. 2. Quantify healthcare entities relation. Generalisation to all entities (200K+) is the key contribution. 3. Causal learning for entity assignments. Explored causal models to find the best explanation of symptoms in terms of disease. Proposed models outperformed bayesian models significantly even with data noise. 4. Explored conformal prediction methods for classification problems to guarantee high recall.

Extend conventional vision algorithms for segmentation tasks based upon perceptual similarity among the pixels. This was the part of MBZIRC-2019 challenge. For this, I explored the quad tree-based parallel segmentation approach.

THRSL is a core robotics company working to automate, adapt, and enhance vehicle systems for safety and better driving. Being a research engineer I explored various ADAS features like Forward Collision Warning System, Driving Monitoring System, Turning Assistance System, Pedestrian Protection System. Other core learnings are understanding system services, cross-compilation of OS, boot time optimization.

The Design of FMCW Radar. Major learning was parameter tuning (operating frequency, sweep frequency, bandwidth etc) for FMCW radar. Also designed transmitter for radar using PLL algorithm and implementation on FPGA (Spartan-6) board.