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Saurabh_Shanbhag_Resume
1. Saurabh Shanbhag
PROFILE
Innovative Software Engineer with proficient algorithm designing skills in Java, Python.
Proven expertise in coding and testing large-scale systems. Enthusiastic team leader
with managerial, sports & volunteering experience. Proactive learner with sharp
analytical, problem-solving skills and a passion to build, create, design and code.
EDUCATION
North Carolina State University, Raleigh Dec 2018
Master of Computer Science
MIT College of Engineering, Pune University, India May 2017
Bachelor of Engineering - Information Technology
Courses: Design & Analysis of Algorithms, Software Engineering, Spatial-temporal
Data Mining, Data Science, Artificial Intelligence, Machine Learning, Object-Oriented
Programming, Operating Systems, Data structures, Information Retrieval.
PROFESSIONAL EXPERIENCE
Barclays Inc - Software Developer Analyst, New York June 2018 – Aug 2018
✓ Developed OneReg: An Intraday trade processing tool using Java, Spring, Apache
Hadoop that reduced trade reporting latency by 13% (550 trades per sec).
✓ Enhanced scalability by designing REST APIs for algorithmic trading.
✓ Built OneApp: full-stack web service automation tool using AngularJS, Java, Linux.
Persistent Systems - Software Project Intern, India Aug 2016 – May 2017
✓ Constructed Wi-Fi Positioning System using Android (Java), SQL, PHP, JDBC that
determines exact position of mobile phone based on available Wi-Fi routers (RSSI).
✓ Achieved location accuracy of ±1.5m which surpasses accuracy of GPS (±4m),
with additional feature for identifying floor number (3D mapping).
✓ Improved accuracy by leveraging trilateration algorithm with machine learning.
E-Zest Solutions - Software Engineering Intern, India Dec 2016- Feb 2017
✓ Created web application using Java, Twilio API, XPath, MongoDB for real-time
notifications about tournament fixtures & results.
PROJECTS
Spatial Data Mining - Crime Predictor, NC State University
✓ Built deep-learning framework in Python for mining geospatial data and combined
it with Chicago crime data to find co-location patterns and predict future crimes.
✓ Achieved 75% accuracy by adding temporal analysis and QGIS visualization.
NLP Chatbot - Meeting Scheduler, NC State University
✓ Designed interactive AI Slack bot in Node.js using Google Calendars API that
schedules meetings and resolves scheduling conflicts.
✓ Improved performance with Natural Language Processing and AWS deployment.
Machine Learning – Gender Predictor, MITCOE
✓ Developed a supervised learning model for predicting gender of users by their first
names for optimizing product recommendations in e-commerce.
✓ Achieved 98% accuracy by designing Naïve Bayes Classifier in Java using Apache
Cassandra with dataset containing 16,000+ names.
sshanbh2@ncsu.edu
+1 (919) 904 9295
Raleigh, NC-27606
linkedin.com/in/saurabh-shanbhag
github.com/shanbhag10
bit.ly/saurabhshanbhag
TECHNICAL SKILLS
▪ Programming Languages:
Java, Python, C, C++, R.
Back-end: SQL, MongoDB.
▪ Web Technologies:
Node.js, AngularJS, HTML5, CSS,
JavaScript, PHP, REST API.
▪ Systems and Frameworks:
Apache Hadoop, Camel, Spring,
Unix, TensorFlow, Android SDK,
JIRA, Selenium, Git.
HACKATHONS
SmartARt, PackHacks Hackathon
✓ Designed Android game using
deep-learning to recognize objects
drawn and evaluate user’s skills.
Donna, LexisNexis Hackathon
✓ Built NLP chatbot in node.js, Mongo
DB which determines which lawyer/
judge would be right for given case.
LEADERSHIP EXPERIENCE
Corporate Infocom Pvt. Ltd, India
Team Manager (Internship)
▪ Spearheaded team of 12 associates
in networking, marketing system.
▪ Increased sales by 25% providing
business solutions, negotiating with
clients & delivering presentations.
Professional Soccer Player
Captain of MITCOE soccer team.
Won 13 national awards in 4 years.
ACTIVITIES
▪ Presented a research paper on
‘Optimization of Visual Analytics
and impact on Big Data’ in MITCOE.
▪ Part-time on-campus job as a Food
Service Worker at Jason’s Deli,
NCSU Dining. (14 hours/week)
▪ Passionate artist, trained guitarist
and enthusiastic traveler.