Komatsu Mining

Autonomous Haulage System - Product Development team.

Software Engineer

Evernote

Actions Engineering Zone (Project - Tasks in Evernote)
➝ Developed and shipped a feature independently that filtered recurring tasks in the Evernote application across all platforms (web, desktop, mobile).
➝ Implemented the core logic of a major recurring tasks feature, a custom recurrence option (Repeat After Completion) on web and desktop platforms.
➝ Improved the date picker view for due dates and reminders in tasks for the iOS client enabling the user to view the day of the week.
➝ Collaborated with senior engineers to discuss approaches for solving engineering problems and use cases for features.

Software Engineer Intern

Stony Brook University

TA in course ESE 344 - Software Techniques for Engineers
➝ Assisted students in understanding course concepts through tutoring and mentorship. 
➝ Reviewed and graded course assignments and projects.

Teaching Assistant

Space Applications Centre, ISRO

Applications of Deep Learning and Computer Vision techniques in Satellite Imagery
➝ Researched applications of deep learning and computer vision on archived satellite data captured by Indian weather satellites.
➝ Proposed the project definition ‘Detection of Oceanic Eddies using Sea Level Anomaly Data’ to utilize the potential of modern deep learning techniques on scientific data.
➝ Built image datasets and trained image segmentation model (Mask R-CNN) to detect oceanic eddies from sea level anomaly image dataset with an accuracy of 92%.
➝ Localized and classified types of oceanic eddies from detected eddy dataset by training object detection model (YOLO) with a classification accuracy of 98%. 
➝ Utilized: Python, Matplotlib, Cartopy, Google Colab, Darknet Framework, Detectron2 library, Jupyter Notebook.

Research Intern

A software engineer working on Komatsu Mining's industry-leading Autonomous Haulage System -  Frontrunner, deployed at some of the largest mines in the world. As part of the product development team, we're responsible for feature development and maintenance for the real-time mission-critical system.

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