Tinu Tomson

Fairfax, Virginia, United States
2K followers 500+ connections

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About

With over nine years of industry experience, I am a software engineer at Google, where I…

Activity

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Experience & Education

  • Cloudflare

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Courses

  • Adaptive Web

    CSE 591

  • Applied Cryptography

    CSE 539

  • Artificial Intelligence

    CSE 571

  • Cloud Computing

    CSE 546

  • Distributed Database Systems

    CSE 512

  • Foundations of Algorithms

    CSE 551

  • Multimedia and Web Databases

    CSE 515

  • Software Design

    CSE 564

  • Software Secuirty

    CSE 545

  • Statistical Machine Learning

    CSE 575

Projects

  • 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.

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  • 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, Tensorly

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  • 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.

  • Smart Photo Classifier

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    Designed and developed a secure Google cloud application that uses Microsoft Cognitive Services APIs to detect faces on photos and classify them 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

  • Malayalam

    Native or bilingual proficiency

  • English

    Native or bilingual proficiency

  • Hindi

    Limited working proficiency

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