experience
Full-time
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May 2024 - Present
Software Engineer
Snowflake (Mentor- Sandeep Seethapathy)
- Working in the Execution team of the SQL org that operates the core data processing engine
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Jul 2020 - Aug 2022
Software Engineer
Microsoft R&D India (Mentor- Dr Marc Friedman)
- Incubator of the SCOPE Cloud Query Optimizer Team (India), which owns the optimizer phase of the petabyte-scale distributed query processing engine
- Collaborated with research teams (INSTalytics, GSL) to conduct and productize research.
- Contributed to DevOps, mitigating livesite issues and conducted interviews for the Azure Data Org at Microsoft.
Internship
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Jun 2023 - Aug 2023
Software Engineering Intern
AirMettle (Mentors- Donpaul Stephens and Matt Youill)
- Worked on building a Query Optimizer for semi-structured data (JSON, NetCDF, Tensor)
- Improved the performance of querying atmospheric data provided by NOAA
- Designed novel multi-dumension shuffle operation to enable distributed execution of big-data queries that operate on tensor data
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Jan 2020 - Jun 2020
Research Intern
Microsoft Research Labs India (Mentor- Dr Bhargav Gulavani and Dr Kaushik Rajan)
- Worked in the INSTalytics team (Systems Group) on optimizing SCOPE query plans.
- Made smarter use of SSDs to perform more intelligent query optimizations in the SCOPE Engine.
- Productized the work in the SCOPE Query engine impacting ~14% of customer workloads bringing average savings of about ~10% in compute time.
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May 2019 - Jul 2019
Research Intern
Carnegie Mellon University (Mentor- Dr Jiyuan Zhang and Dr Franz Franchetti)
- Worked on optimizing graph algorithms using SIMD acceleration in the SPIRAL group.
- Designed a set operation based implementation using Intel Vector Instructions of the breadth first search algorithm which beat the benchmark for the breadth first search on some graphs from SNAP.
- Identified the bottleneck of the algorithm to be the SIMD implementation of small-large set operations