# Krishna Chaitanya Reddy Dodda

> Software Engineer, Machine Learning at Google

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/krishnachaitanyareddydodda

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

## Work Experience
### Software Engineer, Machine Learning @ Google
Jan 2023 – Present | San Francisco Bay Area
Conversational AI @Google Cloud

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

### Software Development Engineer II, Machine Learning @ Amazon
Jan 2021 – Jan 2023 | Greater Seattle Area
Prime Video Recommendations

### Software Development Engineer II, Alexa AI @ Amazon
Jan 2020 – Jan 2021
Alexa AI

### Software Development Engineer II, Machine Learning @ Expedia Group
Jan 2019 – Jan 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

### Software Development Engineer, Big Data @ Expedia Group
Jan 2017 – Jan 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

### Independent Study @ The University of Texas at Dallas
Jan 2017 – Jan 2017
I worked under Professor Nicholas Ruozzi as part of an independent study.

Topic: Applying deep learning techniques in message passing algorithms for Conditional Random Fields to better approximate for continuous space random variables.

Delivered expected results and proved the application of deep learning neural nets in predicting CRFs. Was awarded an A grade for my work.

### Software Development Intern @ Expedia Group
Jan 2016 – Jan 2016 | Bellevue, Washington
Worked in the Enterprise Data Warehouse(EDW) Team for the project titled - 'Data Wiki'
- 'Data Wiki' is  a Hadoop cluster monitoring system by scraping log data from history server.
- The 'Data Wiki' system helped identify unused hive tables and enabled effective resource usage and cost savings.
- Also built a UI for my project using D3.js

Languages - Java, D3.js

### Graduate Teaching Assistant @ University of Texas at Dallas
Jan 2015 – Jan 2016


## Education
### Master’s Degree in Computer Science (specialization in Data Science )
The University of Texas at Dallas
Jan 2015 – Jan 2017

### Bachelor of Engineering (B.E.) in Electrical and Electronics Engineering
Birla Institute of Technology and Science, Pilani


## Contact & Social
- LinkedIn: https://linkedin.com/in/krishna-dodda

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Source: https://flows.cv/krishnachaitanyareddydodda
JSON Resume: https://flows.cv/krishnachaitanyareddydodda/resume.json
Last updated: 2026-03-22