Ankush Mishra
I am currently studying Master's in Computer Science at Penn State, University Park, PA, USA. Prior to this I was a software developer at Adobe, where I led various initiatives for realtime interactions, along with automation and increased velocity. I was also involved in the development of various backend API's which were consumed by other internal services.
Before Adobe, I have been involved in Google Summer of Code 2016 during my undergrad where I worked on Apache Openmeetings to integrate external calendar sync based on CalDAV and Google Calendar.
I graduated from PESIT, Bangalore India with a Bachelor's of Technology in Information Science.
Timeline
2021
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Graduate Teaching Assistant
The Pennsylvania State UniversityCourse - CMPSC 465 - Data Structures & Algorithms
Advisor - Dr. Antonio Blanca & David KoslickiHandling recitations, and working through problem sets. Also creating quizzes and grading mid-term and final exams.
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Started Masters in Computer Science & Engineering
The Pennsylvania State University -
Left Adobe
2020
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Member of Technical Staff 2
Adobe
2019
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Identity and Innovators Award at Adobe
Won the Identity and Innovator Awards, 2019. Highest vertical award presented by CIO, no other employee with only 1 year experience has received this in 5+ years.
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Published Study on Amoebiasis dynamics
Developed an epidemiological model CISER, to represent amoebiasis disease spread. We then implemented the disease spread dynamics as a reactive routing protocol and comparisons to SIR and SEIR were made to show lesser overhead, while achieving comparable results for others.
2018
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Joined Adobe as a Member of Technical Staff
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Graduated
Bachelor's of Technology at PESIT, Bangalore, India
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Published Research on Environment Descriptor for the Blind
Implemented a deep learning module to produce a natural language descriptions from a real-time video input. Used an architecture based on VGGNet, consisting of CNN and RNN to produce a multimodal mapping from images to natural language text.
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Published Research on Detection of fighting styles
Created a dataset based on the various fighting styles, and representing the videos as a bag of localized spatio-temporal interest points. Utilized this dataset for classification of videos.
2016
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Developer at Google Summer of Code
Apache OpenmeetingsImplemented calendar sync based on CalDAV and Google Calendar to the Apache OpenMeetings Calendar.