I am currently a Research Intern at Microsoft Research India, where I work with Anand Iyer on systems that enable efficient machine learning over large graphs.
In the past, I have also worked with Bhargav Gulavani and Karthik Ramachandra from Microsoft Research India on overcoming performance regressions in scalar UDF inlined queries in SQL Server.
Not so long ago, I completed Masters (by Research) in Computer and Data Systems from the Indian Institute of Science (IISc), where I was advised by Yogesh Simmhan.
At IISc, my research focused on distributed system software which leverage specialized abstraction and optimizations to accelerate the convergence time of temporal graph algorithms.
· [August 2020] Serving on Artifact Evaluation Committee (AEC) @ OSDI 2020.
· [May 2020] Successfully defended M.Tech.(Research) Thesis. Many thanks to everyone who encouraged and supported me along the way. 🎓🗞🎉🎊
· [April 2020] Video of my talk on An Interval-centric Model for Distributed Computing over Temporal Graphs
@ IEEE ICDE, 2020 is now available.
1. An Interval-centric Model for Distributed Computing over Temporal Graphs April 2020
Swapnil Gandhi and Yogesh Simmhan
IEEE 36th International Conference on Data Engineering (ICDE) in Dalas, Texas 2020
PDF
Video
Slides
IEEE Xplore
BibTeX
@inproceedings{ICM,
author={Gandhi, Swapnil and Simmhan, Yogesh},
booktitle={2020 IEEE 36th International Conference on Data Engineering (ICDE)},
title={An Interval-centric Model for Distributed Computing over Temporal Graphs},
year={2020},
pages={1129-1140},
organization={IEEE}, }
Distributed Programming Abstraction for Scalable Processing of Temporal Graphs January 2020
Swapnil Gandhi
M.Tech (Research) Thesis · Indian Institute of Science (IISc)
PDF
BibTeX
@mastersthesis{gandhi2020Thesis,
title={Distributed Programming Abstraction for Scalable Processing of Temporal Graphs},
author={Gandhi, Swapnil},
year={2020},
school={Indian Institute of Science Bangalore},}
1. Wave : A Substrate for Distributed Incremental Graph Processing on Commodity Clusters October 2019
Swapnil Gandhi
ACM Student Research Competition (SRC) at 27th Symposium on Operating Systems Principles (SOSP), Ontario, Canada
Bronze Medal
2. From "Think Like a Vertex" to "Think Like an Interval" January 2019
Swapnil Gandhi and Yogesh Simmhan
Young Researcher’s Symposium (YRS) at 6th ACM IKDD CoDS and 24th COMAD, Kolkata, India
Finalist
3. Distributed Querying over Compressed Property Graphs December 2018
Swapnil Gandhi, Sayandip Sarkar, Abhilash Sharma, Yogesh Simmhan
Student Research Symposium (SRS) at 24th IEEE International Conference on High Performance Computing, Data and Analytics (HiPC), Jaipur, India
Best Poster Award
Thesis : Distributed Programming Abstraction for Scalable Processing of Temporal Graphs
CGPA: 9.2/10.0
Courses taken : Topics in Database Systems, Scalable Systems for Data Science, Database Management Systems, Linear Algebra and Applications, Introduction to Scalable Systems, Research Methods
Thesis : Mutation Testing Tool for C Programs
Carried out at Tata Research Development and Design Centre (TRDDC), India
Course-work Grade : First Class with Distinction (Highest Attainable Grade)
Graduated with Department Honors