[IIT Bombay project title]
[placeholder outcome: automated multi-camera calibration and defect analysis with 99.4% precision]
Research fellow at IIT Bombay (TIH Foundation) and computer vision engineer.
[placeholder outcome: automated multi-camera calibration and defect analysis with 99.4% precision]
[placeholder outcome: adaptive control algorithms reducing attitude error during transition by 42%]
@article{sparsh2024crack,
title={[Preprint: Deep learning framework for automated structural crack segmentation under non-uniform illumination]},
author={Sparsh and Collaborators},
journal={arXiv preprint arXiv:[placeholder]},
year={2024}
} @incollection{sparsh2025vtol,
title={Stabilizing VTOL aircraft through the transition phase},
author={Sparsh and Collaborators},
booktitle={[Book Title Placeholder]},
publisher={Springer/Elsevier},
year={2025}
} [placeholder: implemented core dataset loaders and modular visual augmentation pipelines for deep learning benchmarks]
[placeholder: optimized point cloud processing routines and resolved concurrency bottlenecks in robotics simulator]
[placeholder: authored comprehensive test suites and automated deployment workflows for cross-platform vision libraries]
I am an undergraduate in Computer Science with an AI specialization, currently researching visual perception and adaptive control systems. My work focuses on bridging the gap between theoretical vision models and reliable deployment in physical, safety-critical environments. Previously, I led vision engineering efforts at FirstVidya and conducted robotics research at IIT Bombay. [placeholder additional sentence on current research interests].