Abhinav Mishra

Abhinav Mishra is a Principal Applied Scientist at Splunk, based in San Francisco, California. He has extensive experience in machine learning, algorithms, and large-scale data analysis.1

Professional Experience

Abhinav's career at Splunk has progressed as follows:

• Principal Applied Scientist, Security Research (December 2021 - Present)

  • Leads ML efforts for Splunk Enterprise Security and Behavioral Analytics
  • Creates roadmaps for ML Platform and oversees distribution of various detections

• Senior Applied Scientist, Machine Learning Research (August 2019 - November 2021)

  • Led R&D in developing scalable streaming ML techniques
  • Co-designed several innovative algorithms, including:
    • Adaptive Thresholding suite (50x speed-up)
    • Streaming Time-Series Forecasting (1000x speed-up)
    • Streaming Time-Series Decomposition (100x speed-up)
    • Streaming drift detection (100x speed-up)

Previous Roles

Before joining Splunk, Abhinav held several notable positions:

• Founding Engineer at MoQuality (acquired by Snap Inc.) from December 2016 to August 2019
• Researcher at Yahoo! Labs from May 2011 to July 2012
• Senior Software Engineer at Persistent Systems from July 2006 to July 2009

Research Interests

Abhinav's primary areas of interest include:

• Algorithms
• Convex optimization
• Large-scale machine learning

Achievements

His work has been published in prestigious conferences such as ACM KDD 2021, IEEE ICDM 2021, and VLDB 2022.1 Additionally, during his time at Yahoo! Labs, he published research at the WWW 2012 conference on semi-supervised correction of biased comment ratings.1

Abhinav Mishra's career demonstrates a strong focus on developing cutting-edge machine learning techniques and applying them to solve complex problems in various domains, particularly in the field of security and data analysis.