Krishna Puttaswamy
Big Data EngineerData and AI Technologist
Databricks
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data and AI Technologist
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Experienced engineer building scalable systems and infrastructure with an emphasis on big data, analytics and machine learning.
UC Santa Barbara
Ph.D, Distributed Systems, Security and Privacy
January 1, 2005 – January 1, 2010
National Institute of Technology Karnataka
Bachelor of Engineering, Computer Science
January 1, 1999 – January 1, 2003
Databricks
Principal Engineer
April 1, 2024 – Present
Mountain View, California, United States
CoinTracker
Software Engineer
May 1, 2022 – April 1, 2024
San Francisco Bay Area
Uber
Distinguished Engineer
March 1, 2022 – May 1, 2022
Uber
Principal Engineer
September 1, 2021 – May 1, 2022
Uber
Senior Staff Engineer, Marketplace
June 1, 2018 – May 1, 2022
Airbnb
Senior Staff Engineer, Machine Learning Infrastructure
January 1, 2017 – June 1, 2018
Airbnb
Senior Staff Engineer, Data Infrastructure
July 1, 2014 – June 1, 2018
Senior Engineer, Data Infrastructure
December 1, 2012 – July 1, 2014
Mountain View, CA
Alcatel-Lucent Bell Labs
Cloud Computing Researcher
December 1, 2010 – December 1, 2012
Holmdel, NJ
Microsoft Research, Silicon Valley
Research Intern
January 1, 2009 – September 1, 2009
Microsoft Research, India
Research Intern
June 1, 2008 – September 1, 2008
HP Labs
Research Intern
June 1, 2006 – September 1, 2006
University of California, Santa Barbara
Research Assistant
September 1, 2005 – December 1, 2010
Microsoft, India
Software Design Engineer
January 1, 2004 – January 1, 2005
DEShaw
Member of Information Technology
January 1, 2003 – January 1, 2004
Cubert
March 1, 2014 – Present
Cubert is a fast and efficient batch computation engine for complex analysis and reporting of massive datasets on Hadoop. The innovation here is the data preparation step that facilitates running better algorithms which perform an order of magnitude faster than off the shelf implementations that are available in the market. Some of the algorithms that were implemented in the project to accelerate data processing are discussed in the VLDB paper http://www.vldb.org/pvldb/vol7/p1462-vemuri.pdf Also, we have open sourced this project on GitHub. More on Cubert is available at http://linkedin.github.io/Cubert/
Cultural Fit Analysis
The candidate demonstrates a strong cultural fit through their diverse project experience, ranging from academic research to large-scale industry implementations. Their work on open-source projects (Cubert) and contributions to published research highlight a collaborative and innovative mindset. The progression through senior and principal roles at multiple prominent companies indicates adaptability and a drive for impact, aligning well with high-performance engineering cultures. The breadth of skills in distributed systems, data processing, machine learning infrastructure, and cloud optimization shows a versatile and continuously learning professional.
Soft Skills & Operational Fit
The candidate's extensive experience in leading projects and teams at major tech companies suggests strong leadership, problem-solving, and collaboration skills. Their involvement in open-sourcing projects and publishing research papers indicates a proactive and knowledge-sharing attitude. The descriptions of their work on optimizing systems and building platforms imply a focus on efficiency and scalability, which are critical operational fits for a senior role.