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Welcome
स्वागत (Swāgat)
எழுத்துகள் (Ezhu-thu-kkaᬽ)
స్వాగతం (Swāgataṁ)
Bienvenido

To my digital home!

Engineering Manager Lyft
2021 – Present
Software Engineer Lyft
2019 – 2021
Software Engineer Yelp
2015 – 2019
Software Engineer Oracle Health
2012 – 2015
Software Engineer Intern Ericsson
2011
🎓
M.S. Computer Science
University of Texas at Dallas · Graduated 2012
2,800+
ML features in production
ML Feature Platform at Lyft
Grew Lyft's Feature Service from 800 to 2,800+ ML features. Scaled ingestion 100× to 50M features/hour and drove reliability from 7 pages/week down to 2 per quarter.
Spark Redis DynamoDB Airflow
12×
streaming platform growth
Realtime Compute Platform
Scaled Lyft's realtime platform from ~25 to 300+ Flink and Beam applications powering pricing, routing, fraud detection, and ML feature pipelines at ~5 GBPS throughput.
Apache Flink Apache Beam Kafka
1.7M
queries/month · 65% fewer failures
Spark Platform Reliability
Improved Spark platform reliability by 65% and grew usage 2.2× over two years. Maintained multi-flavor Spark (Yarn + Kubernetes) for cost-optimized ML workload scheduling.
Spark Kubernetes Yarn
650
production jobs migrated · <150ms latency
Feature Service v2
Co-designed and built Lyft's next-gen feature platform from scratch. Migrated 650 jobs serving real-time and offline features across fraud, growth, mapping, and pricing.
Spark Airflow Redis DynamoDB
Millions
user sessions generated daily
Yelp Sessionizer
Designed, built, and scaled a streaming application that generates millions of Yelp user sessions per day in near real-time — the backbone of Yelp's core product metrics.
Apache Flink Kafka Python
~$5K
saved per day
Cross-AZ Streaming Optimization
Enabled cross-AZ failover and redesigned blue/green deployment for stateful streaming jobs — cutting ~$5K/day in infrastructure costs while improving SLOs.
Flink Beam Kafka