Resume- Full Time

1. SURBHI BHATNAGAR
123 Merrimac Street, Buffalo, NY – 14214 | Phone:+1(631)507-6457| surbhibh@buffalo.edu
GITHUB:https://github.com/surbhiUB LinkedIn ID: www.linkedin.com/in/surbhib
EDUCATION
M.S. Computer Sciences State University of New York, Buffalo, New York Expected December 2016
B.Tech Computer Sciences HMRITM, I.P. University,New Delhi, India May 2014
TECHNICAL SKILLS
• Languages: C, C++, Java, R, JavaFX
• Database: MySQL, Oracle
• UI Technology: HTML, JavaScript,JQuery, JSON, CSS, PHP, Twitter Bootstrap, Wordpress
• Mobile Technology: Android Development
• Software/Tools: SolrLucene, MS Office, MATLAB, Eclipse,Adobe Photoshop, Netbeans, IntelliJ
• Operating Systems: Windows,Linux, UNIX, MacOS
COURSES: MachineLearning, Data Intensive Computing, Distributed Systems, Information Retrieval,Analysis of
Algorithms, Computer Security, Algorithms for Modern Computing
HONORS AND AWARDS
 Awarded the Topper of C/C++ Training,Accenture in the entire collegehire batch of 2015.
 Amongst top 3 students in class rank and top ten students in college.
 B.Tech Major Project on reliableUDP recognized as one of the most innovative projects University wide.
 Partof the website designing team in Mechsonic Racingteam of India fromHMRITM participatingin FSAE Italy.
 Won multiple accolades in Website designingand programming in various competitions.
RELEVANT EXPERIENCE
Software Engineer/Intern Pharos Labs LLC, Boston, USA May 2016 – August 2016
 Designed and developed the firstrich interactiveGUI for the medical diagnostic tool using Java and JavaFX which
enables dynamic data representation and visualization.Led the efforts for requirements gathering, to designing
and development.
 Workingon development of the medical databasethrough data analysis and miningand improvingthe software
based medical diagnostic tools beingdeveloped through feature development and testing.
Teaching Assistant University at Buffalo Mar 2016- May 2016
 Worked as a Teaching Assistant for Graduatelevel MachineLearning coursefor MIS program. Assisted students
with projects on languagelikeR, worked with them on course lectures and helped debug codingissues.
Software Engineering Associate/Developer Accenture, India Oct 2014- July 2015
 Integral partof the Aristos Gemini CFM projectworking for AT&T. Responsiblefor collaboratingwith teams across
India and Philippines to gather requirements, design and solvecustomer-facingissues.
 Automated the modification and changerequests on the Customer Financial Management systems by developing
shell scriptson UNIX with additional capability to schedulejobs.
Software Engineer/Intern DRDO- SSPL, India June 2013 – July 2013
 Developed a real-timeinteractiveweb portal for Car Reservation System as a new onlineconcept in Indian
Automobile industry,usingOracle(backend),Forms 2.5, and Reports 2.5 (front end).
Software Engineer/Intern AlmaMate- Salesforce.com June 2012 – July 2012
 Designed and developed a BankingSystem using Salesforce.comwhich was a step to port to cloud technologies.
The bankingsystem had features likedebit, credit and could be customized accordingto the requirements .
TECHNICAL PROJECTS
Multilingual Search System for Tweets:
 Developed a complete Multilingual search enginewhich retrieves Tweets based upon queries, with focus on
ingesting,indexing and searchingtwitter data in 5 different languages. The retrieved results were shown along
with summarization and faceted search filters to refine search. The data was indexed usingIR models.
 UsingSolr Lucene and Java,experimented with various retrieval models,tagged the content with named entities
likeWiki links.
Simple Amazon Dynamo: Replicated Key-Value Storage
 Implemented a Dynamo-stylekey-value storage. There are three main features likePartitioning,Replication,and
Failurehandling.
 The project provides both availability and linearizability atthe same time. The implementation always performs
read and write operations successfully even under failures.
Handwritten Digits Classification Using Neural Networks:
 Implemented a Multilayer Perceptron Neural Network and evaluated its performance in classifyinghandwritten
digits.Using numpy and scipy Python packages, the trainingdata and test data of largedimensions was normalized
and used for feature selection.The data was further used for feed propagation,error calculation and back
propagation.
Parallel Processing of Big Data using Hadoop Map Reduce:
 Parallelizing data processingusingHadoop MR. Design of interestinganalysisquestionsand solutions
(Experiments) of University room allocation and Courseand Student Enrollment Data over the years.
 Buildingan analysis and visualization user interfaceusingTableau.