Kevin Huynh

• Leveraged Cross-Site Scripting (XSS) with HTML & PHP to steal cookies from the host's server and send them to my computer in order to gain access to restricted pages.
• Utilized SQL-Injections to bypass security measures and gained access to private database information, stealing valuable customer usernames and passwords.
• Created a website that, on loading, causes the Professor's computer to silently change all student grades to 100%

• Created a system which continues client operations even with multiple server failures.
• Implemented multi-instance Paxos algorithm, which guarantees linearizability, even with processor failures and dropped/late messages. Also implemented with stable leaders and garbage collection.

• Implemented AdaBoosted Decision Trees to predict outputs of 0-9 based on given numerical input data.
• Utilized weights to calculate the weighted error of a single Scikit-Learn's DecisionTreeClassifier. Then used that error and AdaBoost - SAMME to update the weights of the misclassified data for the next decision tree iteration.
• Achieved 95.9% accuracy in 100 iterations, compared to a single Scikit-Learn's DecisionTreeClassifier's 87.0% accuracy (used a 50:50 training/testing… Show more

• Implemented AdaBoosted Decision Trees to predict outputs of 0-9 based on given numerical input data.
• Utilized weights to calculate the weighted error of a single Scikit-Learn's DecisionTreeClassifier. Then used that error and AdaBoost - SAMME to update the weights of the misclassified data for the next decision tree iteration.
• Achieved 95.9% accuracy in 100 iterations, compared to a single Scikit-Learn's DecisionTreeClassifier's 87.0% accuracy (used a 50:50 training/testing split)
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• Implemented the next word suggester for uMessage, which offers four predictions on the user’s next word.
o Using a text corpus as reference material, the program uses an outer dictionary to map all words to the pair of words that came before it. An inner dictionary then keeps track of how often each word appears after this exact pairing.
• Coded AVL Tree, Chaining Hash Table, and HashTrieMap dictionaries, which could be used as either the outer or inner dictionaries. Implemented their… Show more

• Implemented the next word suggester for uMessage, which offers four predictions on the user’s next word.
o Using a text corpus as reference material, the program uses an outer dictionary to map all words to the pair of words that came before it. An inner dictionary then keeps track of how often each word appears after this exact pairing.
• Coded AVL Tree, Chaining Hash Table, and HashTrieMap dictionaries, which could be used as either the outer or inner dictionaries. Implemented their structures, as well as insert, find, and their iterators.
• Crafted a report which recorded and compared the runtimes of insert and find for each data structure (including Binary Search Tree). Justified the results by breaking down each structure’s unique traits and how they would lead to better/worse performances in different use cases.
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• Using the index from text files, takes a word query, and prints out the all files’ names that match the query, from most to least occurrences of the word(s).
o To make an index, a file indexer reads through the files and stores information about its words: mapping the word to a file as well as the word’s file position(s)
• Implemented various methods of the structure along the way: hash tables for the mapping the file name to their words, linked lists for the words’ occurrences. While… Show more

• Using the index from text files, takes a word query, and prints out the all files’ names that match the query, from most to least occurrences of the word(s).
o To make an index, a file indexer reads through the files and stores information about its words: mapping the word to a file as well as the word’s file position(s)
• Implemented various methods of the structure along the way: hash tables for the mapping the file name to their words, linked lists for the words’ occurrences. While creating each index, implemented code to write its contents to disk so that the word query searcher can read it back and use the data.
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