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Work Experiences

Applied Materials

Bangalore, May 2020 - Aug 2021

I worked as a part of the CTO New Business Development research team on the development of an AI-based cancer diagnostic solution. Believe to have played an important part in pushing the product from ideation stage to production stage in a small team.

Core objective was to develop object detection and semantic/instance segmentation solutions for cell detections with as much focus on explainable AI as possible. Tech stack involved the whole grail of machine learning/deep learning e.g. tensorflow, keras, pytorch, scikit-learn.

SigTuple Technologies

Bangalore, Oct 2019 - Mar 2020

Worked in the Data Science team on the development of cell detection and tracking algorithms for automated pathology tests. Developed a new model based on YOLO which improved detection precision by over 30% and R2 score by 20%.

Implemented scanning algorithms for scanning slides in a robotics based scanner device, interfacing hardware as well as cameras for capturing slide videos.

Samsung Electronics

Delhi NCR, Jul 2017 - Oct 2019

Developed multiple sub-products with complete ownership in the Enterprise Displays Team - like video content player, weather app, network based multi-tv video wall, synchronized play etc on the Linux/C++ based Tizen framework.

Led the research and development of gaze estimation and object detection-based content/advertisement recommendation system for large outdoor displays. Used crowd gaze as an implicit feedback for suggesting better contents to be played on screen.

Goldman Sachs (Intern)

Bangalore, May 2016 - Jul 2016

Developed a diagnostic safety layer for a production data pipeline in the Finance Data Engineering Team.

Developed a visualization dashboard for monitoring the various data flows in AngularJS.