Team: ML Feature Platform

Worked on a low latency feature aggregation system for near real time and batch ML ranking and recommendations use cases of the Snap Ads, Maps, Search, Content teams.

Working on Feature Registration and lifecycle management including feature deprecation that directly affects Snap's bottomline.

Skills: Java, Python, Apache Spark, Apache Iceberg, Aerospike, gRPC, Google Cloud (Dataproc, Spanner, GCS, BigQuery and BigTable), Machine Learning

Team: Uber Eats - Money

• Built Money, Fares and Tax services and features in Golang that continue to have a high direct impact on Uber's top and bottom lines.

• Built Uber Eats order reconciliation and processing systems to increase reliability.

Skills: Golang, Cassandra, Redis, SQL, Distributed Systems

Team: Developer Experience - Adobe Service Runtime

Worked on distributed services and internal libraries for several backend and infrastructure needs.

Technologies used: Java, Golang, Spring, Jersey, AWS, Azure, Docker, Apache Kafka, Junit, Mockito, RESTEasy, Mesos, Marathon, Prometheus, Python

Team: Master Data Management

Developed Java based services and components for data cleansing and management.

Technologies Used: Java, Python, Spring Boot, Spring, JUnit, PL/SQL, Apache Kafka and Elasticsearch

Team: FIT IT Department

Developed internal applications used by the University students for class scheduling, calendar alerts and campus events.