Applied AI Engineering @ Google Cloud . Helping build next gen agents at Google cloud. My most recent focus has been ensuring compliance in agentic systems.

2023 — NowGoogleSoftware Engineer, Machine Learning

2023 — Now

San Francisco Bay Area

Conversational AI @Google Cloud

https://cloud.google.com/solutions/customer-engagement-ai

2021 — 2023AmazonSoftware Development Engineer II, Machine Learning

2021 — 2023

Greater Seattle Area

Prime Video Recommendations

2020 — 2021AmazonSoftware Development Engineer II, Alexa AI

2020 — 2021

Alexa AI

2019 — 2020Expedia GroupSoftware Development Engineer II, Machine Learning

2019 — 2020

Seattle, Washington, United States

I currently work in 'AI Labs' at Expedia. I was fortunate to help build a common AI platform from ground up.

Specifically my team is involved in powering the conversations platform for Expedia and all its brands.

My Current work involves building a highly available, fault tolerant AI Platform and ML pipelines. Specifically i worked on

Deployment and optimization of various conversational ML models - Intent/NER/Translation

Building a central feature store using Redis and Mongo as the underlying stores

Designing and Implementing Data Pipelines(stream and batch) to push, transform feature data to online stores.

Building Unified Inferencing Engine for ML models

Building online store service

Model Deployment Service

Technologies - Spark on Kubernetes, Kubernetes, Redis, , Mongo , AWS - EKS, EMR, Elastic Cache, Data Pipeline, Kinesis, Dynamo

Deployment tools - Jenkins, Terraform, Helm

Languages - Java, python, Scala

2017 — 2019Expedia GroupSoftware Development Engineer, Big Data

2017 — 2019

Bellevue, Washington

I work in the engineering division of the Data services and Platform -DSP team ( formerly called Enterprise Data Warehousing -EDW) which oversees the Big Data platform and workflows at Expedia. Worked on a project called 'Jetstream' with the following work highlights

Contributed to building highly available, scalable data lakes for various teams across expedia.

Built an ingestion system that can replicate hive data across datalakes

Built a hive data analyzer that smartly finds which hive partitions were updated for replication

Worked on building systems that enable hive data compression and compaction for better data replication performance

Built orchestration engine to orchestrate various hive data pipelines.

Big Data technologies used: Hadoop, Hive, HBase, Kafka, Presto, Elasticsearch, DynamoDB

AWS technologies worked on : lambda, data pipeline, EMR, dynamo , API Gateway, Athena, ECS, EC2, S3, SNS

Deployment tools : terraform, Jenkins

Languages: Java, typescript, python

Education

2015 — 2017

The University of Texas at Dallas

Master’s Degree

2015 — 2017

Birla Institute of Technology and Science, Pilani

Experience+

Education

Master’s Degree

Bachelor of Engineering (B.E.)