• Designed a new rate limiting service to improve the accuracy and observability of API rate limiting behavior.• Completed a zero downtime migration of Sift's primary API to Kubernetes.• Supported team in the role of Tech Lead by guiding system architecture decisions, mentoring teammates, and coordinating cross-team dependencies.

• Advocated for and Implemented a new backend allowing for managing customers' Connectors (3rd party integrations), improving performance, maintainability, and security. (using Java, Vault, Postgres, webhooks)• Lead integration of multiple Connectors making use of this backend (Keyless face authentication, PayPal)• Implemented changes for a large variety of systems including: Sift's REST API, mobile API, webhooks, client SDKs (for java, python, dotnet, android, ios), and metrics/logging.

• YCombinator Summer 2014 Program.• Engineered and maintained a system publishing over 2mil social posts; integrating with Facebook, Instagram, Twitter, LinkedIn and Pinterest.• Architected and built real-time social post scheduling algorithm. Utilized social network metrics, user defined rules and social post configuration to compute optimal post schedule. Computed over 1.8 billion recommended posting times.• Created data pipeline to generate cross-network analytics to enable customers to see a unified view of their social media impact. Integrated 5 third party API’s and an internal link shortening service. Supported ad hoc queries searching on 15 different dimensions and sorting on 185.• Led architecture and development of triggers based on social post performance. Generated custom SQL based on user defined rules to enable real-time queries on worker jobs.• Created robust internal concurrency, error handling, and logging tools. Ensured entire codebase and team was following conventions.• Built internal framework for Facebook API interaction allowing easy request specification,batching multiple requests, fault tolerance and automatic retry with exponential delay.• Advocated and completed tech debt reduction with upper management. Upgraded main server software stack 3 times.• Designed and built a real-time machine learning based content optimization algorithm tochange the social presentation of customer’s content on the fly using a multi-armed bandit algorithm.

• Implemented a dynamic data storage and transformation tool for use by non technical customers, allowing configuration using a custom internal Lisp dialect.• Integrated that data structure into a proprietary Facebook-like social work platform.• Lead internal talks about new technologies and their relevant business applications.• Implemented high volume search-data indexing system running on deployed clouds for cus-tomers such as Amazon and Bank of America.

• Planned and developed proof of concept iOS application from background research through implementation and documentation.• Lead cross-team investigation, collection, and maintenance data about large groups of internal applications in preparation for a data center movement project.