Nagaraj T Janakiraman

Senior Software Engineer

Santa Clara, California, United States12 yrs 9 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

PhD candidate with expertise in Big Data solutions.
Developed innovative Cybersecurity systems using Deep Learning.
Experienced in mentoring and guiding engineering students.

Stackforce AI infers this person is a Data Science and Machine Learning expert with a focus on Cybersecurity and Big Data solutions.

Contact

Skills

Core Skills

Big DataResearchData ScienceMachine LearningSoftware DevelopmentProject Management

Other Skills

Pattern MatchingGroup TestingCompressed SensingGraph AnalyticsCybersecurityDeep Reinforcement LearningSpectrum AllocationWeb DevelopmentSystem EngineeringSignal ProcessingProgrammingAlgorithmsData StructuresMicrocontrollersSimulations

About

I am currently a PhD candidate in Computer Engineering at Texas A&M University, College Station. My research interests revolve around building scalable (sublinear time) solutions to Big Data problems including Pattern Matching, Group Testing and Spectrum Sensing. I have a great interest for Machine Learning, particularly focused on Graph Analytics and its application to Cybersecurity. I have some good industry research exposure and developed systems for spectrum sharing and Cybersecurity using state of the art Deep Learning and Graph Analytic techniques.

Experience

12 yrs 9 mos

Total Experience

4 yrs 4 mos

Average Tenure

6 yrs 6 mos

Current Experience

Google

Senior Software Engineer

Nov 2019 – Present · 6 yrs 6 mos · Austin, Texas, United States · Remote

Nvidia

Data Science Intern

May 2018 – Aug 2018 · 3 mos · Austin, Texas

Designed and implemented a Cybersecurity workflow to identify potential network anomalies using Graph Analytics.

Graph AnalyticsCybersecurityData ScienceMachine Learning

Siemens

Data Science PhD Intern

Jan 2018 – Apr 2018 · 3 mos · Princeton, New Jersey

Worked on the DARPA Spectrum Collaboration Challenge. Developed and implemented a Deep Reinforcement Learning framework to learn the optimal spectrum allocation policy of the networks.

Deep Reinforcement LearningSpectrum AllocationMachine LearningResearch

Texas a&m university

3 roles

Graduate Research Assistant

Promoted

May 2016 – Nov 2019 · 3 yrs 6 mos

Conduct research on Big Data problems (Pattern Matching, Group Testing, Compressed Sensing etc.) to optimize space and time complexity

Big DataPattern MatchingGroup TestingCompressed SensingResearch

Graduate Teaching Assistant

Sep 2014 – May 2016 · 1 yr 8 mos

Instructed the Senior Capstone Design Program and guided 20 project teams (80 students approx.)
Mentored students in various design stages - evaluating project ideas, initial prototyping, building test plans and validating results.

Graduate Student

Aug 2013 – Nov 2019 · 6 yrs 3 mos

Ericsson

Intern

Jun 2012 – Jul 2012 · 1 mo

Developed a web portal to aid the professionals to automate processes and expedite solutions to customer problems.
Practical experience in System Engineering, Project Management and Product Commercialization.

Web DevelopmentSystem EngineeringProject ManagementSoftware Development