1. Veera Naga Sai Susmitha Santhoshi Kadi
395 Ano Nuevo Avenue,Apt 1013 Phone: 408.656.4819
Sunnyvale, CA-94085 Email: susmitha.kadi@gmail.com
OBJECTIVE
To acquire an engineer position in a lively environment where I can contributeas a team member and develop my skills
EDUCATION
 University of Illinois at Chicago G.P.A : 3.66/4
Master of Science, Computer Science Graduation: May’16
 National Institute of Technology, Calicut G.P.A:3.85/4
Bachelor of Technology, Computer Science and Engineering Graduation: May’13
RELAVENT COURSEWORK
Data Structures and Algorithms, Computer Networks, Operating Systems, Database Management Systems, Artificial Intelligence, Natural Language
Processing, Object Oriented language Environments, DataMining, Intro to Machine learning, Neural Networks and Deep Learning, Analytics for
BigData, Numerical Analysis, Probability and Statistics, Image Processing, Statistical Theory
TECHNICAL SKILLS
 Programming/Scripting Languages C, C++, Python, MySQL, Objective-C, Java, R, Bash, PHP, Javascript, HTML
 Tools Lex,Yacc,R,GNU Tools (gcc, gdb etc)
 Operating Systems Linux, Windows, Mac
 Others MIPS Architecture, Hadoop, MapReduce, TCP/IP, Scikit, Multi Threaded Programming,
svn, github, Bugzilla, AWS
PROFESSIONAL EXPERIENCE
SOFTWARE ENGINEER, CAVIUM INC (JULY 2013 - JULY 2014)
Cavium Inc is a fabless semiconductor company that designs multicore chips for security processing and general purposeMIPS based processing (1 to 48
cores on a chip).
• Worked on snortXL software, which is snort IDS softwareaccelerated using cavium's regex and packet processing hardware accelerators.
• Exposed to Cavium's octeon processor's PIP, IPD, PKO, SSO and HFA hardware blocks internals, how to program them. Also, MIPS architecture and
its intricacies.
• Involved in improving the performance of snort by offloading the packet parsing portion into PIP, IPD and output onto PKO.
RESEARCH EXPERIENCE
PREDICITNG THE RATING OF A RESTAURANT - YELP ACADEMIC DATASET Advisor: Prof. Brian Ziebart
• Predicted the rating of a restaurant, by using thefactors(location, service, price)which affects the rating themost
• Used topic modeling(LDA) in finding thefactors from user reviews.
• Performed logisticregressionto find the weight that each factor contributes(feature weight)
• Used regression to find therating of a restaurant. Tested this using the Yelp academic dataset
• Clustering techniques has been employed to find the clusters, under which a restaurant may fall(in terms of rating)
C++ HACKERS SYSTEMUSING VIRTUAL FUNCTIONS AND INHERITANCE IN C++ 11 Advisor: Prof. Ugo Buy
• Implemented an abstract superclass ‘Set’ with concrete subclasses ‘Ordered Collection’ and ‘Linked list’ is implemented using virtual functions.
• Implemented deferred methods like add, remove, at, operator[]() and operator=() and polymorphismlike virtual copying scheme, virtual destructors
and concrete methods like Union, Intersection.
• Understood the concepts of object oriented environment more thoroughly.
TCP/IP AND UDP CHAT SERVER – CLIENT IMPLEMENTATION [C++, Socket Programming]
• Implemented Socket based client, server for TCP/IP and UDP chat system.
• pthreads were used for communication between multiple clients and server.
REDDIT DATA ANALYSIS Advisor: Prof. Yuheng Hu
• Analyzed the reddit comments and found out the most discussed topics (hot topics) among the users and produced a report on thepercentage of peop le
and their sentiment towards the hot topics.
• The dataset was a 2GB file of user comments represented using JSON Objects.
• Used NamedEntity Recognition and MapReduce to find thehot topics.
• For each of the hot topic, performed a sentiment analysis task, where Mapper gives the sentiment score to the comment and Reducer returns the
number of peoplewith that sentiment score towards the topic.
Technologies used: StanfordCoreNlPlibrary, Hadoop, MapReduce, Java, AWS
SENTIMENT ANALYSIS - TWITTER DATA FOR 2012 PRESIDENTIAL ELECTIONS. Advisor: Prof. Bing Liu
• Developed a predictive model to classify the sentiment of the tweets towards obama and romney as positive, negative and neutral.
• Used probabilistic models like naive bayesian, svm and logisticregression for classification task.
• Semantic orientation of the phrase and distance of the sentiment word(adjective, adverb, verb) from the noun(obama or romney) were the major
features affecting theF-score.
SIL, SIMPLE INTEGER LANGUAGE [Lex, Yacc, C]
• A Compiler for Simple Integer Language is implemented with support to variables arrays, conditional and iterative statements
iOS - SET CALCULATOR
• Devoloped an application in Objective-C that allows the user to perform set operations on a given input.
• The set was implemented by custom made LinkedList and NSMutableArray
E-MAIL SERVER [PHP, PostgreSQL, Javascript, Html]
• A model websitefor an E-Mail server is designed and implemented that includes thefollowing components.
1. A Database for email messages, addresses, fields etc. in Postgre SQL
2. A User interface for login, logout and for sending and receiving mails is implemented using HTML and JavaScript. PHP was used to connect
backend and front end