Aswin Bharadwaj Ramesh is a software engineer with experience developing backend services, APIs, and tools for news distribution at Factset Research Systems. He has also interned at CommVault Systems where he developed a search application using technologies like Java, Solr, and Neo4j. Ramesh holds an M.S. in computer science from SUNY Buffalo and a B.E. in computer science from SSN College of Engineering in India. His areas of expertise include Java, Python, C++, databases, machine learning, and distributed systems.

1. 20 2nd street #1404
Jersey city, NJ 07302
(free to relocate)
ASWIN BHARADWAJ RAMESH
SOFTWARE ENGINEER
(716) 566-8150
aswin.bharadwaj@gmail.com
EXPERIENCE
Software Engineer II –
Platform - News Distribution
Factset Research Systems Inc., NY Feb 2015 – Current
▪ Working on providing Alerting and Searching capabilities over News to our clients.
▪ Design, develop, maintain and monitor the backend services, APIs, processes, tools, software infrastructure
needed to distribute news. C++, Python, AngularJS, Elastic
Dev Intern – Search & Analytics CommVault Systems Inc., NJ May 2014 – Aug 2014
▪ Developed a Google’s “knowledge graph” inspired - enhanced enterprise Search application.
▪ Features like related and connected articles using custom scoring and ranking algorithms. Application also
identifies key terms and produces a summary out of it. Java, NoSQL (Neo4j), Solr,
Restlet
▪ Document Tagger that can machine learn and multi-tag domain specific articles using Naïve Bayes
classification implementation with an f-measure of 0.73. Python, scikit-learn, Flask, Apache Spark
Student Intern – Wireless TATA Elxsi, India Aug 2012 - May 2013
LTE simulation and analysis using LTTng in Linux: Modeled the LTE stack on Linux by implementing the various
layers and do user space tracing. Checked for deployment feasibility, performance bottlenecks. C/C++, Linux
EDUCATION
Buffalo, NY State University of New York Aug 2013 - Dec 2014
▪ M.S. in Computer Science and Engineering with CGPA of 3.666/4.
▪ Coursework: Algorithms; Machine Learning; Advanced Information Retrieval (Recommender Systems);
Distributed Systems; Advanced Computing Systems; Data Intensive Computing; Software Engineering ;
Seminars on Mobile Sensing and Big Data
Chennai, India SSN College of Engineering (Anna Univ.) Aug 2009 - May 2013
▪ B.E. in Computer Science and Engineering with CGPA of 8.04/10.
▪ Department topper in the final year project and secured 10/10 in all practical examinations.
PROJECTS
▪ RecoBot. Developed a Content Based – Collaborative Filtering (CBCF) model for “mood” based movie
recommendations. Used Latent Dirichlet Allocation (LDA) for topic modeling Amazon Movies & TV dataset
with over 7 million reviews and ratings. Solr, Mallet, J2EE, Stanford NLP, R, jQuery
▪ Replicated key-value store with Quorum replication, handling concurrency and consistency. Android
Simple Distributed Hash Table that does ID space partitioning, ring based routing and node joins.
▪ QA System. Wikipedia info-box based question answering system. More than 1 million articles indexed. Auto
suggestion/ correction, Faceting, Visualization. Solr, Java, jQuery/Bootstrap/HTML5,EC2,FB API
▪ Wiki Indexer. Wikipedia document Indexer that included document parsing, tokenization and SPIMI
implementation of indexing that searches by term/author/category/link to retrieve top-K results. Java
▪ Civic Sense – IBM India Challenge. Complaint process automation at Government offices. Assisted system
design using MVC architecture. Session management for users providing different views and categorization of
complaints. Developed a responsive User Interface. J2EE, JavaScript (jQuery/jQueryUI), AJAX
▪ Business Targeting. Worked on the Yelp Dataset to come up with a graph based technique Neo4j, R, python
▪ Twitter Data Analytics. Clustering (Kmeans) & Co-occurrence using Hadoop Map Reduce. R, Gephi, Sigma.js
▪ Predicting page relevancy using regression algorithm over query-URL pairs from Microsoft Bing LETOR 4.0
data set. Results matched industry standards. Matlab
▪ RTDroid. Worked on making the Android Kernel real time. Qualcomm Snapdragon (APQ8074)

2. CERTIFICATIONS AND ACHIEVEMENT
▪ Oracle Certified Java Programmer (OCJP) with a percentile score of 98; Cognizant certified student
▪ Winner – Infosys Programming Contest- Aspirations 2012 (1000 participants); HCL - In plant Training
LANGUAGES AND TOOLS
▪ Java, C++, Python, C, Go J2EE, REST MySQL
▪ HTML5/CSS/JavaScript AngularJS, jQuery, AJAX
▪ NoSQL ( Neo4j ) Solr/Lucene/Elastic R scikit-learn, Mallet, Matlab, Apache Spark, Stanford NLP
▪ Hadoop/Map Reduce
▪ Eclipse Git, Perforce EC2, Heroku