1. Maruti Gollapudi +91 8106213790 maruti.gollapudi@gmail.com
Principal Architect, DCX (Digital Customer Experience) Group, Capgemini
Introduction
• Practicing Architect with overall 17 years of experience and last 14 years associated
with Capgemini (legacy IGATE).
• Continuous learner and repeatedly demonstrated ability to learn and adopt new
technologies. Was part of Research & Innovation group for about 3 years.
• Experienced in building Platforms, frameworks and solving complex IT problems.
• Capable of developing solutions and executing projects with diverse technology stacks
(implemented projects in Java/J2EE, Python and Ruby!!) with a focus on Automation
and Reusability and addressing functional and nonfunctional requirements.
• Experienced in all phases from pre-sale solutioning to deployment.
Significant Contributions
• Capgemini Digital Intelligence Platform
o Data Aggregation and Analytics (structured and unstructured) platform hosted on
AWS. Enables Social Analytics, Text Analytics (NLP & Machine Learning),
Enterprise search etc. Includes Streaming and batch modes of processing. Various
Analytics and search solutions were developed leveraging this platform (see below).
o Java, JBoss, Flume, Kafka & Strom, Mongo DB, Solr Cloud, Open Data API
(Twitter, Facbook, Klout etc), IBM Watson, Stanford NLP, Gephi, Neo4j
• Page Builder for media giant (CNBC)
o Helping CNBC to a move UI templates outside CMS, build an UI framework to
modify content & UI of live pages as and when required. (Headless CMS)
o Conversation UI using Chatbot and integration with Slack channel.
o Involved from pre-sales solutioning to production.
o React, Redux, Node JS, Express, Docker, Mocha, Mongo DB
• CNBC UBER Connect (CNBC)
o UBER planned to implement a platform that enables Organizations to present
context (ride) specific information to User. Helped CNBC to build a middle ware to
receive context from UBER and identify and serve information to User.
o Spring Boot, AWS Lambda, Dynamo DB
• Network Data Collection and Reporting Platform for CISCO
o Automation of entire network data collection process including setting up of platform
(infrastructure automation) based on principles of DevOps. Also includes Self-
service Reporting portal presenting the KPIs for Data collected.
o Designed Resource Allocation Algorithm for Optimal Resource Allocation for Data
Collection Platform
o Phython, Java, Liferay, ELK stack, Ansible, Docker, Microservices and Reactive
Architecture.
• Research & Innovation Group
o Mandated to adopt new technologies and develop quick PoCs/MVPs.
o Instrumental in setting up Social Analytics CoE by studying the space and
evaluating related tools and technologies.
• Enterprise search
o Designed evaluation model and Reference Architecture
o Enterprise search implementation for GE Aviation using Apache Solr
• Java based applications development for RBC – core team member for the account that
grew to second biggest account in IGATE
• Tools and technologies development for Indian Languages
➢ https://www.linkedin.com/in/marutigollapudi
➢ @gmaruti
➢ https://github.com/gmaruti
➢ http://blogofmaruti.blogspot.com/
SKILLS:
• TOGAF 9.1
• Architecture: Client -
Server, Batch, Big Data,
Reactive, Microservices,
Serverless
• Big Data – Flume, Kafka,
Strom, Mongo DB, Solr
Cloud, ELK (Elasticsearch,
Logstash, Kibana),
Banana, Hadoop, Mahout
• Cloud: AWS (EC2,
Lambda, API Gateway),
Apache Mesos
• DevOps, Ansible, Vagrant,
Docker
• Rabbit MQ, Zabbix
• UI: Express, React, Node
(MERN), Redux, Jquery,
Graph QL
• J2SE/J2EE , Spring
(Spring Boot, MVC)
• APIs: IBM Watson,
Twitter, Facebook,
Stanford NLP etc
• Chatbot (Botkit, RASA)
EXPIRENCE
• Capgemini (legacy IGATE)
from May 2004.
• Technology Resource
Center for Telugu,
Hyderabad – August 2001
to May 2004
EDUCATION
• MCA, University of
Hyderabad (Hyderabad
Central University), 2001.
(14th Rank in State wide
entrance exam).
• “Introduction to Data
Science” course from
Coursera.
2. Achievements and Contributions
Awards & Achievements
• Won CDO award (team award) 3 times. (2016, 2013, 2009)
• Received award for best contribution and technical leadership from the client (UBoC, 2010).
• Crucial contribution to project/programs that won CEO award.
• Experienced in working on strategically significant projects. Part of initial teams for at least 4 accounts including 2nd
biggest for IGATE.
Open Source Contributions
• Java Wrapper for Klout API
• Java Wrapper for Topsy/Otter API (Listed in Official Topsy site, Cited in at least 3 research publications around the
world and received a note of thanks from a developer in Isreal)
• Improvements to Mongo DB to Solr Importer component.
• Java Wrapper to Compete API
• Improvements to Logstash Mongo Filter (Ruby based)
Artifacts and References
• “Sentiment Summarization Techniques for Short Informal Text — A Study using Tweets” (2012)
• https://code.google.com/archive/p/otterapi/ : Reference to the Open Source contribution Otter4Java (Java wrapper for
Topsy) on official Topsy’s Otter API site
• Automation of Liferay application lifecycle – https://www.slideshare.net/marutigollapudi1/devops-pipeline-for-liferay-
application
• Context broker Engine design - https://www.slideshare.net/marutigollapudi1/context-broker-introduction-and-
reference-architecure
Recent Assignments
Page Builder – Page curation and publishing using Headless CMS
• Helping CNBC to a move UI templates outside CMS and build a UI framework to define and modify content & UI of live
pages as and when required.
• This application helps Editors to modify the content and layout of the web pages without requiring IT help. Enables
content to be served to customers instantly.
• Implementation includes syncing two redux stores on page to provide live preview of changes being done.
• Working on creating Reference Architecture and Reference Implementation for building Modern UI using Page
Templates UI components and Headless CMS.
• React, Redux, Node JS, Express, Docker, Mocha, Mongo DB
CNBC UBER Connect (CNBC) – Architect, March 2017 to July 2017
• UBER planned to implement a platform that enables Organizations to present context (ride) specific
information/content to User.
• Helped CNBC to build a middle ware to receive context from Uber and curate and present content to User.
• Implemented Spring MVC on Amazon lambda.
• Implemented a logic to generate dynamic collage using images top news items as part of improving customer
experience
• Built Application monitoring dashboards using ELK using logs from AWS Cloudwatch.
• Spring Boot, AWS Lambda, Dynamo DB
Enterprise Search and Analytics – Evaluation Model, Road Map and Reference Architecture
• Analyzed the tools and techniques in Enterprise search (with focus on Ecommerce space with techniques like guided
selling etc) and prepared reusable Search implementation evaluation model and Reference Architecture.
3. Recent Assignments: Digital Intelligence platform
Digital Intelligence platform encompassing content aggregation, context identification and concept detection using Natural
Language Processing, Network Analysis and Statistical techniques. The solutions are custom developed to solve customer
specific problems
Platform Features:
• Integration with multiple sources from Enterprise to Web and Social, Structured and Unstructured.
• Data filtering and Noise removal
• Structured and Un-structured Data Analytics (Sentiment Analysis, Topic Identification, Recommendations, Customer
Profiling etc)
• Scalable and Real-time analytics
• Visualizations and Alerts for defined KPIs and trends.
• Classification (Sentiment Analysis), Clustering (topic identification), Social Network Analysis, Named Entity
Recognition, Domain specific KPI analysis, Customer profiling and Segmentation, Competitor analysis and
comparison, Trending graphs and virality alerts.
Technologies:
JBoss, MySQL, Java/J2EE, JSP, FusionCharts, D3, Apache Flume, kafka, Storm, Solr Cloud, Mongo DB, Neo4J, JSoup,
Crawler4j, Social network and Open data adaptors, Apache Tika, Sentistrength, Stanford NLP, IBM Watson API, Alchemy
API, JGraph, Mahout, Sementria, Amazon Web Services, Banana
Solutions implemented using Platform
1. Social Insight: Aggregate social data periodically from Facebook, Twitter, LinkedIn, Klout etc to provide valuable
insights about the company, customers and competitors.
2. Social Pharma: Solution for Social Pharmacovigilance of marketed medicines based on patient comments in
discussion forums. It was able to identify adverse events and product off-label usage of certain drugs nearly a year and
half before FDA reported
3. ITextDiscovery: Intelligent search and discovery of text from large volumes of unstructured content. It provides
capability of searching documents beyond keyword based search and enables concept search using text analytics.
Implemented for an Insurance customer.
4. Email Analysis: Solution that provides intelligent search across messages and quick summary of communication
patterns, sentiment and other trends. Implemented for Internal HR group.
5. Voice of Customer Analysis: The platform was used to analyze US reality talent show (for two seasons) of a leading
media & entertainment company. In this study, winners who got voted on a weekly basis were predicted with more
than 85% accuracy
6. Passenger Experience Analysis: Analysis of customer experiences of a leading Australian airlines to discover
insights about customer preferences across business class, mode of travel, airline rating etc.
7. NextGen Sales Prospecting: Innovative solution for sales team of a Fortune 10 financial services company that
helped in improving lead qualification and increased customer stickiness. Includes Auto identification of Social
Identities, Aggregating data generated by these identities. Analyze and present insights like identifying the topics
discussed in this chatter. Insights help Sales team to better understand their customers. Implemented using the
Platform in co-innovation mode with Customer
8. Inquiry Analysis: A Pharma company in US receives queries regarding their products and SMEs respond to them.
Company wanted to identify possible insights from Data and help improve productivity of the SMEs. Performed a quick
MVP leveraging Digital Intelligence platform to present Management Dashboards and an approach to recommend
possible answers to the new queries based on the existing data.
9. Analytics as a Service: A major US bank wanted to identify the factors that will influence the User engagement with
the brand over Social Networks. Leveraging the Digital Intelligence platform to aggregate and analyze the data and
developed a model to identify the factors and relationship to User Engagement in Social Media. Also analyzed the
utilization of Facebook ads by Competitors
10. Social CRM: Monitor Social Media interactions. Identify complaints, product queries from them and create customer
service or lead requests in CRM system for further workflow.
4. Other Significant Assignments:
Project 1 : CWBE - Corporate Workbench Enhancements. (May 2009 – March 2011). RBC Canada.
Environment : Struts, EJB, DOJO toolkit, WebSphere.
Highlights : Multi-million development project. Developed an innovative solution using JS Caching and Single Page
Application approach to reduce load on Mainframes.
Project 2 : Mobile Banking Application (Mar 2009 – April 2009). Union Bank, US
Environment : WALL API, Struts, Websphere.
Highlights : First of Mobile applications for UB and IGATE
Project 3 : Online Account Opening (Feb 2008 – Oct 2008). Union Bank, US
Environment : JBoss Seam (JSF and EJB 3.0), JBoss AS, Oracle 9i.
Highlights : First of applications utilizing JBoss Seam and EJB 3.0 for IGATE.
Project 4 : Notification Service System (NSS) (Mar 2007 – Jul 2007) (Batch Job). RBC Canada.
Environment : Java, JDBC, DB2, JCL
Highlights : Designed high Performing Batch Job which to process batch requests and prepare notifications (email
and sms)
Project 5: DOS Migration (Sep 2005 – Aug 2006), Royal Bank of Canada, Canada
Environment : Java, J2EE, J2C
Highlights : First of projects for RBC which became biggest client for IGATE. Efficiently handled Technical and
execution complexities.
Project 6: Global Reporting Investigation Tool (GRIT) (Dec 2004 – June 2005), GM
Environment : Struts 1.2.4, Spring, WebLogic 7.0, J2EE (EJB2.O, JMS, JSTL), Oracle9i, XDoclet 1.2.2, Canoo Web
Test1.1, Eclipse 3.0.
Highlights : First Spring based project
Project 7: AKSHARA – Word Processor for Indian Languages (Jun 2002 – May 2004), Ministry Of Information
Technology, India
Environment : Java, Java Swing, Java Mail.
Highlights : This is one of the set of tools developed for Indian Languages using Java (Java 1.2!!) technologies. This
includes support for 14 Indian Languages, Text to speech conversion for Telugu etc
(http://ildc.in/Telugu/htm/Akshara.htm)
Recent Assignments: Common Tools Platform for Cisco
AS (Advanced Services) group of Cisco provides consulting services for Cisco’s customers to improve operational efficiency
of Network Engineers by profiling their network devices and identifying non-compliant configurations that can affect the device
performance. Also helps Customers to trouble shoot issues with their network devices.
Phase 1: Common Tools Platform:
This is a platform for Cisco Engineers to configure, schedule and execute data collection from various network devices. This is
based on Capgemini’s Data Collection & Analytics Framework which enables intelligent orchestration of workflow for efficient
and faster data collection through effective job scheduling, dynamic resource management and parallel processing. This
platform aims at automating entire process by utilizing proven DevOps technologies including “infrastructure as code”
concepts to enable automated deployment on engineer’s Laptop as well as on Cisco Data Center.
Technologies: Python, Django, Nose, Jenkins, Ansible, Docker, Vagrant, Mongo DB, Git, AP Scheduler, Ubuntu.
Phase 2: KPI Reporting Portal
This is a Self-service BI reporting portal that enables Cisco Engineers to analyze data collected using Common Tools Platform
and visualize by building Repots. And finally share these Reports with their Customers through Portal. This is the first phase in
journey towards building Big Data based BI platform (utilizing Data Lake). This project involves Data discovery and Report
building using ELK stack and share Reports using Liferay Portal.
Technologies: Java/J2EE, ELK (Elasticsearch, Logstash, Kibana), Liferay, Ruby
5. Technical Exposure:
Operating System Windows 98/2000/XP, Linux
Language Java SE,Java EE
Tools Eclipse, CVS, Heidi SQL, RAD, Sun xVM VirtualBox, Robo Mongo, Visio, Atom
RDBMS Oracle, MySQL
Frameworks Struts, Spring, JBoss Seam, JUnit, Cactus, TestNG, JBPM
UI frameworks React, Redux, Node JS, Express JS, Mocha, JSF (RichFaces, MyFaces), JSP, AJAX
(Ajax4JSF, DOJO toolkit), JQuery, Fusion Charts, D3 JS, WALL API (for Mobile
devices), IBM RPC Adapter and J2ME MIDP LwVCL
Application Servers JBoss, Tomcat, Websphere, Weblogic
Big Data Apache Flume, Storm, Kafka, Hadoop (HDFS, MapReduce, Mahout), Mongo DB, Solr
Cloud, Elasticsearch, Apache Mesos, Neo4J, Dynamo DB
DevOps Ansible, Vagrant, Jenkins, Docker
Social Network, Open Data and
Analytics APIs
IBM Watson API (Tone, Personality Insights), Alchecmy API (Theme, keywords),
Twitter, Facebook, Google Plus, Instagram, LinkedIn, Klout, Topsy, Weather Map,
BestBuy, Socialmention, Sentistrength
Cloud Amazon Web Services, AWS Lambda, AWS API Gateway, IBM Blue Mix
Others ELK Stack, Banana, EJB 3.0, Java Swing, J2C, Hibernate, Fortify, Gephi,, Apache
Tika, Crawler4j, JSOUP
