Backend engineering on the Anti-Evil team to improve Reddit's safety

• As a member of the distributed systems team, shipped multiple features to expand Optimizely’s analytics product. I worked on a realtime data pipeline processing billions of events daily and a tech stack comprised of Dropwizard, Flume, Kafka, Samza, and HBase fully hosted on AWS.

• Led project to improve the observability of Optimizely’s results query path by introducing centralized logging using Fluentd, Chef, S3, and Elasticsearch+Kibana.

• Delivered GDPR compliance for the distributed systems team on a strict deadline. Wrote several MapReduce jobs to access/delete visitor data from HBase and S3.

• Member of the core 4-person engineering team that launched the Optimizely X Full Stack and

Mobile products (https://www.optimizely.com/products/full-stack), which grew to $10M+ ARR

within a year.

• Led development of the Optimizely Java SDK (https://github.com/optimizely/java-sdk) building

features including audience targeting, mutually exclusive experiments, live variables, whitelisting, and webhooks while working across tech stacks building models/APIs in a Python web-app

environment (Google App Engine) and a few React JS frontend components.

• Gave onboarding talks to new engineers about our data infrastructure

• Conducted onsite and phone interviews for engineering candidates on areas such as CS fundamentals and system design.

• Participated in on-call operations for the data infrastructure backing the realtime analytics product.

• Scoped out Google AdWords integration which allows for targeting based on AdWords referral data (https://help.optimizely.com/Integrate_Other_Platforms/Integrating_Optimizely_with_Google_AdWords)

• Built generalized method of quickly adding OAuth-enabled Optimizely integrations

• Prototyped Optimizely Apps for hackathon project (https://help.optimizely.com/Integrate_Other_Platforms/Introduction_to_Optimizely_Apps)

• Built OAuth & RBAC protected, versioned REST APIs to manage OAuth clients who use the Salesforce Data.com API. OAuth admins can use the API to generate, delete, update, and search for clients. Used Spring Framework.

• Developed a frontend in AngularJS for OAuth client management APIs.

• For a company hackathon, built a REST API that generates an ideal customer profile with Weka, then makes calls to the Data.com Connect API to get contacts that fit the constraints from the profile. Customers similar to ideal profile are visualized on a heat map of the United States. Used Java for training, Scala for API layer, AngularJS for frontend. Worked in team of 4.