About
Activity
2K followers
Experience & Education
Courses
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Adaptive Web
CSE 591
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Applied Cryptography
CSE 539
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Artificial Intelligence
CSE 571
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Cloud Computing
CSE 546
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Distributed Database Systems
CSE 512
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Foundations of Algorithms
CSE 551
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Multimedia and Web Databases
CSE 515
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Software Design
CSE 564
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Software Secuirty
CSE 545
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Statistical Machine Learning
CSE 575
Projects
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Implement AES-Rijndael Algorithm
Developed an Advanced Encryption Standard - Rijndael library that takes a file as input and encrypt /decrypt using the key provided. The side channel attacks against AES algorithm was studied and mitigation strategies to counter some of the such attacks were also built into the project.
AES is one of the most modern and secure symmetric key encryption algorithm, conceived no earlier than 2000. AES-Rijndael algorithms have two main functionalities, namely encryption and decryption…Developed an Advanced Encryption Standard - Rijndael library that takes a file as input and encrypt /decrypt using the key provided. The side channel attacks against AES algorithm was studied and mitigation strategies to counter some of the such attacks were also built into the project.
AES is one of the most modern and secure symmetric key encryption algorithm, conceived no earlier than 2000. AES-Rijndael algorithms have two main functionalities, namely encryption and decryption. Encryption takes in 128 bits data block plaintext and a key which can be either 128 bits or 192 bits or 256 bits to produce a 128 bits output block cipher. Decryption reverses this process to get back the plaintext.Other creatorsSee project -
Movie recommendation based on IMDB and Movielens data
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We used vector models like TF and TFIDF and graph model algorithms like PageRank and personalized PageRank for identifying terms that are more relevant and discriminating in a document. We used latent semantic analysis for reducing high dimensional data to lower dimension for improving program efficiency. Using the vector model and similarity measure, we implemented movie recommendation for users. Various classification algorithms like Decision Tree, Support Vector machine were implemented to…
We used vector models like TF and TFIDF and graph model algorithms like PageRank and personalized PageRank for identifying terms that are more relevant and discriminating in a document. We used latent semantic analysis for reducing high dimensional data to lower dimension for improving program efficiency. Using the vector model and similarity measure, we implemented movie recommendation for users. Various classification algorithms like Decision Tree, Support Vector machine were implemented to study the relationship between the different entities in the data.
Technologies: Python, Pandas, NumPy, scikit-learn, TensorlyOther creators -
Auto Scaling Web App on Amazon Cloud
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Designed and built an elastic application to calculate digits of Pi based on user input.
Technologies used: AWS EC2, S3, and SQS, etc. -
Music Mojo
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Designed and developed a music recommender that predicts user's mood based on the recent social media activities and can recommend a song accordingly.
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Secure Banking Application
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Led a team of 5 to develop a banking application with security features like SSL/TLS handshake, OTP and captcha etc.
Languages
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Malayalam
Native or bilingual proficiency
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English
Native or bilingual proficiency
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Hindi
Limited working proficiency
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