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Goutham Nekkalapu

Machine Learning Engineer

Machine Learning Engineer at Symantec

San Francisco Bay Area

Section title

Goutham Nekkalapu's Email Addresses & Phone Numbers

Goutham Nekkalapu's Work Experience

Symantec

Machine Learning Engineer

San Francisco Bay Area

San José State University Research Foundation

Machine Learning Research Assistant

April 2017 to 2018

San José State University Research Foundation

Research Assistant

July 2016 to December 2016

San Francisco Bay Area

Goutham Nekkalapu's Education

San Jose State University

Master's degree

2016 to 2017

Udacity

Artificial Intelligence Engineeer Nanodegree

Udacity

Machine Learning Engineer Nanodegree

Goutham Nekkalapu's Professional Skills Radar Chart

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52% Left Brained
48% Right Brained

Goutham Nekkalapu's Estimated Salary Range

About Goutham Nekkalapu's Current Company

Symantec

Frequently Asked Questions about Goutham Nekkalapu

What company does Goutham Nekkalapu work for?

Goutham Nekkalapu works for Symantec


What is Goutham Nekkalapu's role at Symantec?

Goutham Nekkalapu is Machine Learning Engineer


What is Goutham Nekkalapu's personal email address?

Goutham Nekkalapu's personal email address is g****[email protected]


What is Goutham Nekkalapu's business email address?

Goutham Nekkalapu's business email addresses are not available


What is Goutham Nekkalapu's Phone Number?

Goutham Nekkalapu's phone (**) *** *** 274


What industry does Goutham Nekkalapu work in?

Goutham Nekkalapu works in the Computer Software industry.


Who are Goutham Nekkalapu's colleagues?

Goutham Nekkalapu's colleagues are Debabrata Sharma, Matthew Stewart, Heba Lotfy, Tejveer grewal, Melissa Mayhew, Ajay Sonawane, Sosthene (AInstLM), Dramil Dodeja, Paul Conley, and Krishna Kambakam


About Goutham Nekkalapu

📖 Summary

Machine Learning Engineer @ Symantec San Francisco Bay AreaMachine Learning Research Assistant @ San José State University Research Foundation Working with data from a dog school, which provides guide dogs to blind people for free. Training a guide dog is a very costly (>$50,000 for each dog). The aim of this work is to give an insight into this costly, complex process and to build predictive models to simplify decision making process. Some of the tasks performed are:● Developed data pipeline to perform pre-processing, NLP on collected data for sentiment analysis.● Predicted the eligibility of an applicant for a guide dog with an accuracy of 98% and the success of a guide dog, blind person pair with an accuracy of 96% using logistic regression, clustering techniques.● Discovered the factors that contribute to guide dog-user pair to success.● Performed Hypothesis tests using P-values.● Productionized the developed models by deploying them on to Spark based cloud environment. From April 2017 to 2018 (1 year) Research Assistant @ San José State University Research Foundation Worked with Prof.Hyeran Jeon on Implementing Deep learning algorithms on APSoC (AllProgrammable System on Chip) FPGAs( (Field Programmable Gate Array). ● Implemented modules in python using PYNQ (Python for productivity on Zync) framework to accelerate Deep learning algorithms on FPGA. ● Researched approaches for implementing CNN ( Convolutional Neural Networks) on APSoC FPGAs. From July 2016 to December 2016 (6 months) San Francisco Bay AreaSoftware Engineer @ Tata Power Strategic Engineering Division As one of the early member of the team, worked on a variety of software projects in a fast paced, startup like environment. Some achievement highlights are:● Developed Network Management System (NMS) using Simple Network Management Protocol (SNMP) for a voice based multi-services platform.● Increased the throughput across data path by 10 fold by customizing software stack of the network accelerators.● Created a software system which collects the data logs from multiple network nodes that are used for debugging and analyzed to improve the performance.● Responsible for creation and maintaining virtual environments used for development and testing. From July 2013 to August 2015 (2 years 2 months) Bangalore


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Goutham Nekkalapu's Personality Type

Introversion (I), Sensing (S), Thinking (T), Perceiving (P)

Average Tenure

1 year(s), 2 month(s)

Goutham Nekkalapu's Willingness to Change Jobs

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