Anubhav Agrawal

Leading a team of 6 in developing deep learning applications for X-ray image processing. Responsible for the commercialization of AIMAG, optimizing workflows for real-time image enhancement, and ensuring high-quality project delivery.

Developed algorithms for Digital Subtraction Angiography, including image stitching and motion correction, and contributed to building robust pipelines for real-time clinical applications.

Developed gradient boosting models for time-series forecasting of NDVI and built ETL pipelines for large-scale geospatial datasets, enhancing model performance.

Implemented multiprocessing scripts for dataset preprocessing and researched real-time object detection solutions for drone-based applications.

Collaborated on creating a dataset for Smoking and Spitting detection and developed a deep learning pipeline achieving high accuracy in real-world scenarios.

Pursued a Bachelor of Technology (B.Tech.) in Computer Science Engineering, focusing on various aspects of computer science including programming, algorithms, and software development.