Tejas Lodaya
Senior Software Engineer at DoorDash
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolTejas 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.
11 years of coding experience
5 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Purdue University
Hindi, kutchchi, Kannada, English
Github Skills (141)
python10
pandas-dataframe10
deep-learning10
clustering10
iqr10
autoencoder10
neural-network10
recurrent10
data-science10
tensorflow10
jupyter-notebook10
machine-learning10
big-data-analytics10
pandas9
ml9
Programming languages (8)
Github contributions (5)
tejaslodaya/timeseries-clustering-vae
Aug 2018 - Jun 2021
Variational Recurrent Autoencoder for timeseries clustering in pytorch
Contributions:24 commits, 2 PRs, 7 pushes in 2 years 10 months
pytorchautoencodermachine-learningclusteringvariational
tejaslodaya/troop
Oct 2017 - Mar 2023
Contributions:24 commits, 12 pushes, 2 branches in 5 years 5 months
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