I am a graduate student currently pursuing my Masters in Computer Science at University at Buffalo. I have done my Bachelors in Computer Engineering from University of Pune, India. The field of Computer Science has intrigued me since a very early age. Our world revolves around technology and getting adapted to skills in computer science could help us shape the future of this world. My interest in computers and its boundless scope for creativity led me to choose Computer Science from the electives in 12th grade. The reward of computer programming lies in overcoming its challenges. While manipulating the variables to get the desired result, one must abide by strict, math-like rules and use the limited constructs and control flow structures. Achievement at the end through many restrictions felt marvelous. I took an instant liking to it and went on to take the undergraduate program in Computer Engineering.
During my Bachelors in Computer Engineering I was introduced to many exciting courses in Computer Networks (learnt the exact functioning and interaction of the 7 layers of communication), Computer Forensics (learnt various encryption algorithms), Computer Graphics and Gaming (learnt various Clipping and Windowing techniques and Geometric Transformations) and Embedded Operating Systems (Programming Beagle Bone Black consisting of ARM cortex processor). Our final year project was to develop a system which would automate the process of medical diagnosis using association rules and pattern recognition. Working on this project strengthened my technical and team skills and gave me some valuable experience being the Project Head.
In my Masters program which I am currently undergoing at University at Buffalo, I have done many interesting projects in the fields of Distributed Systems, Information Retreival, Data Science and Machine Learning. Implementing these projects has given me in deth knowledge about Java and Android Application development through the Distributed Systems course, Python and libraries like numpy, scikit etc in the Machine Learning course, R and Jupyter Working environment in the Data Intensive Computing course.
Apart from academics I have represented my college in my undergraduate program for soccer and have won several accolades. I am an avid reader and like to play the guitar. Musical influences range from Pink Floyd to Coldplay. Huge fan of Manchester United.
Currently I am looking out for Internship Opportunities in the field of Software Development for the Summer period of 2017.
Masters in Computer Science (Current GPA 3.75)
I am currently pursuing my Masters in Computer Science at University at Buffalo, The State University of New York. I am specializing in the focus area of Computer Software.
Fall 2016: Analysis of Algorithms, Information Retrieval, Software Engineering Concepts, Computer Security.
Spring 2017 (Ongoing): Distributed Systems, Machine Learning, Data Intensive Computing and Seminar on Software Verification.
Bachelors in Computer Engineering (First Class with Distinction)
Completed 4 years of my undergraduate education at University of Pune, India and achieved Bachelor of Engineering degree in Computer Engineering.
2nd year: Discrete Structures, Data Structures and Problem Solving, Digital Electronics and Logic Design, Operating Systems and Administration, Microprocessors Architecture, Object Oriented and Multicore Programming, Computer Organization, Computer Graphics and Microprocessor Interfacing Techniques.
3rd year: Theory of Computation, Operating System Design, Digital Communication and Wireless Sensor Networks, Database Management and System Administration, Computer Forensics, Principles of Concurrent and Distributed Programming, Embedded Operating Systems, Computer Networks, Digital Signal Processing.
4th year: Design and Analysis of Algorithms, Principles of Modern Compiler Design, Smart System Design and Applications, Data Mining Techniques, Embedded Security, Software Design Methodologies and Testing, High Performance Computing, Mobile Computing, Business Analytics and Intelligence.
Taking different courses in my undergraduate program helped me get an insight into object oriented programming and gave me some basic proficiency in programming languages like Java, C++, C and Python.
Working on different challenging projects during my Masters at the University at Buffalo, helped me get some more in depth knowledge about
LANGUAGES: Java, C, Python, R, HTML/CSS, C++
DATABASES: MySQL, Apache Solr Indexing Tool
SOFTWARE PACKAGES: Eclipse IDE, Android Studio, Notepad++, Jupyter
OPERATING SYSTEMS: Windows, Linux
The project required implementation of a content provider for each Android emulator instance. The content provider was implemented using internal storage and consisted of key-value pairs. The second part of this project required us to implement multicast between 5 AVDs. These multicasted messages had to be stored on each emulator’s content provider.Java
The objectives of this lab were collecting data by querying the Twitter REST API and processing the data using twitteR library package. Information had to be summarized for specific queries like finding trends of a particular place. Geo spatial information extracted from tweets had to be used in order to plot the tweets related to a specific hashtag, on a map for visualization.R, Jupyter
Developed a QA system for answering what/who/where type questions on twitter data indexed in Solr. The project focused on determining answer types and extracting facts from the tweets which was done using Natural Language Processing (NLP). Main aim of this project was to answer the questions based on these facts. The project required the use of OpenNLP library for POS (Parts of speech) tagging along with entity detection and entity extraction using Google’s Cloud Natural Language API.OpenNLP, Google NLAPI
This project focused on developing a system which automates the process of medical diagnosis. The system learns from previous input of the user in order to improve the efficiency of its diagnosis and ask further question depending upon the provided input. This project included various concepts like pattern recognition, association rules and decision making.Java, SQL
This project required construction of an inverted index from a given Lucene index generated using Reuters RCV2 multilingual corpus. It involved getting familiar with the Lucene index and interacting with the Lucene API. The second part of this project required implementing two strategies for returning boolean query results namely, term- at-a-time and document-at-a-time.Java, Reuters RCV2, Lucene
This project included interacting with the Twitter API to crawl tweets and index them properly in Solr. Tweets had to be indexed according to the necessary fields and appropriate queries were executed for testing the indexing. The project focused on various concepts covered in Information Retrieval including tokenization, stemming and stop-word removal.Twitter REST API, Solr, JSON
This project involved extraction and re purposing of the Kaggle Sqlite European Soccer Database to create csv files for question answering. The next part involved using data from Pew Research Center for developing questions and hypothesis. Plots were created to justify cleaning and development of new data frames.rsqlite, dplyr package
Implemented a Multilayer Perceptron Neural Network and evaluated its performance in classifying handwritten digits. Then used the same network to analyze a more challenging face dataset and compared the performance of the neural network against a deep neural network using the TensorFlow library.Machine Learning, Python, Scipy, Numpy
The project required implementation of a content provider for each Android emulator instance for storing key value pairs. Each message was multi-casted to all active AVDs. The project required us to implement an algorithm to maintain Total and FIFO ordering guarantees under a randomized failure of any one AVD at any point of time.FIFO, TOTAL, Failure handling, Ordering