Rakshit Agrawal

Robust Neural Malware Detection Models for Emulation Sequence Learning

Neural Classification of Malicious Scripts: A study with JavaScript and VBScript

Neural Sequential Malware Detection with Parameters

Reputation Systems for News on Twitter: A Large-Scale Study

Learning User Intent from Action Sequences on Interactive Systems

Learning From Graph Neighborhoods Using LSTMs

Predicting the quality of user contributions via LSTMs

QuickResponseHost: Enabling crowdsourced disaster response stations

Collaborative systems with applications for social good

KrishiEkta: integrated knowledge and information distribution system for Indian agriculture

Exploring suitable interfaces for agriculture based smartphone apps in India

Sensor network architecture for soil and weather data extraction and database generation

Concept to design a hand-held crop management device (CMD) for farmers

University of California, Santa Cruz

Research in Machine Learning, Reputation Systems and Crowdsourcing. Assisted for courses: Web Applications, Software Engineering, Algorithms and Abstract Data Types, Mobile Applications, Introduction to Computer Science

Microsoft Research

Worked on developing algorithms and models for Machine Learning in Computer Security. Developed Malware Detection models using Deep Neural Networks.

eBay inc. (StubHub)

Worked on Machine Learning, Data Science and Natural Language processing for Big Data Analytics and Search systems. Developed conversion prediction system and text summarization pipelines.

University of California, Santa Cruz

Research Advisor: Prof. Luca de Alfaro

GPA 3.7/4.0

Jaypee Institute of Information Technology, Noida