Arjun Iyer

Arjun Iyer

San Mateo, California, United States
7K followers 500+ connections

About

🚀 About Me & Our Mission:

I’m Arjun, co-founder and CEO of Signadot. At the heart…

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Activity

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Experience

  • Signadot Graphic

    Signadot

    San Mateo, California, United States

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    san francisco, california

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    san francisco, california

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    San Francisco Bay Area

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Education

  • Y Combinator Graphic

    Y Combinator

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    Work on distributed systems (CORBA), Design patterns etc.

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    Silver medallist (Rank 1st) in my class.

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Licenses & Certifications

Publications

Patents

  • Time series metric data modeling and prediction

    Issued US 9323599

    A system that utilizes a plurality of time series of metric data to more accurately detect anomalies and model and predict metric values. Streams of time series metric data are processed to generate a set of independent metrics. In some instances, the present system may automatically analyze thousands of real-time streams. Advanced machine learning and statistical techniques are used to automatically find anomalies and outliers from the independent metrics by learning latent and hidden patterns…

    A system that utilizes a plurality of time series of metric data to more accurately detect anomalies and model and predict metric values. Streams of time series metric data are processed to generate a set of independent metrics. In some instances, the present system may automatically analyze thousands of real-time streams. Advanced machine learning and statistical techniques are used to automatically find anomalies and outliers from the independent metrics by learning latent and hidden patterns in the metrics. The trends of each metric may also be analyzed and the trends for each characteristic may be learned. The system can automatically detect latent and hidden patterns of metrics including weekly, daily, holiday and other application specific patterns. Anomaly detection is important to maintaining system health and predicted values are important for customers to monitor and make planning and decisions in a principled and quantitative way.

    See patent
  • SQL adapter business service

    Issued US 20080294613

  • Log Event Summarization for Distributed Server System

    US 1012931-US.01

Languages

  • tamil, hindi

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