Maheedhar Gunturu

Email:acdpbk@r.postjobfree.com Phone: 443-***-****

http://www.linkedin.com/in/maheedhargunturu

Summary:

• Senior Architect with diversified experience within the Big Data and Mobile industry.

•Drove multiple projects from the incubation phase to commercializing the solution (entire SW development cycle

including testing) and supporting various tier-1 customers.

•Led various critical projects and delivered them on time while leveraging the opportunity to learn/enhance

advanced technical skills specializing in Artificial Intelligence and Machine learning.

Programming Skills:

•High Level Languages: Java Core, Java SE, Spring, Hibernate, MATLAB, SAS, HTML and XML.

•Cloud: Hadoop, Hbase, Hive, Map-reduce, Cassandra, Mahout, Zookeeper, Kafka, Avro, Mahout, Flume & PIG.

•Database: MySQL.

•Low Level Languages: C, C++, JNI, Perl and VB Scripting.

•Networking: SNMP, TCP/IP, UDP, Socket programming, SUPL Protocol.

•Debugging Skills: Platform Builder, Eclipse, Visual Studio, Trace 32 (Jtag) and Visual Slick Edit.

•Software Tools: Git, Perforce, Clear Case, Gerrit, ADB, Ant, Maven, Ivy, Jenkins, Easymock, Mockito, Junit,

MRunit, Jmeter, Puppet, Monit, Eucalyptus, Cloudwatch, Nagios, Gangalia, Graphite, Opsview, SAS, MS-Office,

Prism, Jira, Review Board, Hoplite, Curator, Chaos Monkey and Spartan.

Work Experience:

Zscaler Inc. (March 2013 – Present),

Data Architect, Emerging Technologies

•Working with Hadoop, Cassandra, Spark, Samza, CQL, Hive, Pig, Zookeeper, Kafka, Solr/Lucene and other open

source technologies for architecting/developing a lean distributed logging framework which also supports both real-

time and offline analytics for very high traffic (~14 billion logs/day).

•Lead a team of 8 Sr.Engineers in designing/developing a version two of the product from the ground up.

•Plan and execute various components of the product life cycle (including Cost-benefit Analysis of infrastructure

and services) in alignment with the customer expectations.

•Work with the product management group to determine the Go-to-market Strategy.

Apple Inc. (Oct 2012 – March 2013),

Applied Machine Learning Engineer (Platform/infrastructure team - Consulting)

•Working on developing and supporting a scalable real-time platform for Fraud Detection and recommendation

systems with Cassandra as the backend data store.

•Test-driven development, ensuring the entire test suite succeeds and target maximum code coverage.

•Health monitoring of various components of the cluster.

•Designing and mapping the data schema to support multiple lines of businesses.

Playdom, Palo Alto (June 2012 –Oct 2012)

Software Architect/Developer (Consulting)

•Designed and developed services on top of Hadoop & Hbase frameworks that provide the back-end support for a

Geo-Location based recommendation engine with social integration.

•Tuned the performance of Hadoop jobs tailored for various applications working with a cluster of size 250+ nodes,

dealing with petabytes of data.

•Developed a service for Twitter sentiment analysis on a Hadoop platform. Writing Mapreduce jobs to index the

negative tweets to provide feedback about the product. Using various machine-learning techniques to provide TF-

IDF, Normalization, Stemming, Lemmatization and fuzzy matching. (Oct 2011)

•Developed a product recommendation engine for a website portal dealing with consumer products using Hadoop,

Hive and Hbase. Using various Machine-learning techniques for collaborative filtering, clustering, LDA, markov

models to provide both memory & model based recommendations. (Aug 2011)

Qualcomm Inc.

Senior Software Development Engineer, Santa Clara (Oct 2010 – June 2012)

• Designed the Hbase data-model for storing location related logs collected from mobiles (Snapdragon chipsets) to

suit the access patterns for time-series metrics and dashboards.

•Developed various post-processing Log anal yzers with advanced features for visualization and automation support

for debugging.

•Designed and developed APIs for a brand new project, which implements Mobile-Server architecture.

•Met aggressive deadlines while commercializing position location solution on a new Snapdragon chipset.

•Drove effort for improving code base by removing memory leak issues, fixing lint errors, refactoring process

intensive projects and setting code quality standards.

Software Development Engineer, San Diego (Sept 2008 – Oct 2010)

•Worked in a team of three, responsible for the design, integration, and commercialization of Qualcomm Hybrid

location technology on Android, WP7 and Brew. Met the aggressive timeframe while commercializing this high

demand product.

•Provided debugging support to global customers and the Test team, consistently resolving issues within the time

frame specified.

•Drove the power optimization effort for the overall h ybrid location solution. By designing custom solutions for

different RTOS likes Android, Windows mobile-7 & Brew. Solution was better than the industry standard by more

than 20%.

Software Engineering Intern, San Diego (May 2008 – Aug 2008)

•Researched the Scanning modules in 802.11 protocols.

•Developed a scanner application for Wi-Fi devices for Windows mobile, Android and Brew devices.

University Of Texas, San Antonio, TX

Graduate Research Assistant, (Jan 2007 – May 2008)

•Researched and developed applications for Indoor Positioning and navigation, under the guidance of Dr. David

Akopian. Lead a team of three Graduate Research Assistants in the research.

Education

Stanford University 2014(expected)

Artificial Intelligence Graduate Certificate (SCPD)

The University of Texas at San Antonio, TX Aug-2008

Masters of Science in Electrical Engineering GPA 3.81

Gandhi Institute of Technology and Management, India Nov-2005

Bachelors in Electronics and Communications GPA 3.6

Leadership Roles:

•Represented Qualcomm in various recruiting events. I received Qualstars from Qualcomm for my active

participation in Destination-Q, which is a recruitment drive for software Engineers.

•Was the National Liaison for t he Network of Indian Professionals (NETIP) for the year 2009-10.

Eligible for work in the US through H-1B

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