Tejas Lodaya

Senior Software Engineer at DoorDash

West Lafayette, Indiana, United States
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Summary

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Senior
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Top School
Tejas Lodaya is a Senior Software Engineer based in Seattle with over a decade of experience building high-throughput, storage-centric systems and ML platforms across DoorDash, Swiggy, Rubrik, and earlier startups. He specializes in designing storage-agnostic abstractions, scaling distributed databases (Cassandra, CockroachDB, Aurora), and delivering production ML serving and observability at massive scale. His work blends systems engineering and ML operationalization—rewriting query executors and migration frameworks to support 100x growth while keeping p99 latencies low. Notable contributions include a geospatial OLAP engine, a million-scale ANN image-similarity service to combat fraud, and an event-driven triage framework that cut debugging time by 60%. He holds an MS in Computer Science from Purdue and brings a pragmatic focus on reliability, measurable performance gains, and reusable developer tooling.
code11 years of coding experience
job5 years of employment as a software developer
bookMaster of Science - MS Computer Science, Master of Science - MS Computer Science at Purdue University
languagesHindi, kutchchi, Kannada, English
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Stats
39reputation
2kreached
2answers
2questions
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Github Skills (98)

python10
pandas-dataframe10
deep-learning10
clustering10
iqr10
autoencoder10
neural-network10
background-color10
tensorflow10
machine-learning10
keras10
ml9
pandas-profiling9
statistics9
autonomous-driving9

Programming languages (8)

MDXTypeScriptJavaC++RJavaScriptJupyter NotebookPython

Github contributions (5)

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Variational Recurrent Autoencoder for timeseries clustering in pytorch
Contributions:24 commits, 2 PRs, 7 pushes in 2 years 10 months
autoencoderclusteringpytorchtime-seriestimeseries
Autonomous driving - car detection using the very powerful YOLO model
Contributions:9 commits, 2 pushes, 5 comments in 8 months
autonomous-drivingyoloyolov2yad2kcardetection
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