Pooja Desai

• Originated and owned a distributed identity verification product used across multiple workflows,

processing 12M+ verifications and reducing fraud by 60%.

• Redesigned legacy IP management into a centralized MySQL + Redis service with sub-20 ms lookups,

improving caching efficiency and maintainability.

• Built a distributed real-time trust-scoring platform sustaining 200M+ requests/min, powering crossproduct

abuse detection pipelines and lowering harmful behavior by 30%.

• Implemented observability pipelines with Datadog + Kibana, adding custom metrics and anomaly

detection, reducing incident volume by 45%.

• Led high-severity incident response rotations, driving root-cause analysis and deploying durable reliability

fixes.

• Worked closely with frontend engineers to ship internal admin and tooling UIs

• Primary on-call owner for identity and trust systems, resolving production issues and shipping fixes in

real time.

• Conducted technical interviews, mentored engineers, and created backend design documentation,

strengthening both our hiring quality and cross-team engineering standards

architecture and scalable technologies like Elasticsearch and Temporal workflows.

• Led the design and development of the data modelling efforts for a new document editor product which

helped the marketing agencies propose the products to local businesses.

• Built multiple high performing, reliable systems using Temporal workflow orchestration which involved

sharding and processing of huge data sets.

• Owned the development efforts of implementing Elasticsearch in the product which led to improving

the search performance.

• Developed Open APIs for updating the Business Information for SMBs on the platform. This contributed

to gaining more partners into the system and create an API-first approach for the product.

- UPDATE Listing Profile - This API helps in updating the business information via API integration

- GET Listing Profile - This API helps in getting the business information via API integration

• Instrumental in integrating the 3rd party APIs such as Google cloud APIs to improve the SEO of the

product by using gRPC framework which boosted the revenue by 8.6 percent with an increase of 45k

CAD/month.

• Provided technical mentorship to the team members and helped them to understand the product.

Part of the pricing and promotion team at JCPenney.com. Involved in the development of cluster computing

projects which made use of Nosql and Graph Database along with cloud–computing frameworks to manage

and process big data.

• Responsible for several development efforts which involved designing of architecture using Neo4j Graph

DB and No-SQL DB such as Cassandra.

• Delivered emergency price changes to cross-functional teams using AWS Kinesis.

• Built the capability for mass updating of around 500+ price points using Future Task multi-threading

framework and RESTful APIs which resulted in 45 percent reduction time for the operations team.

• Owned the development efforts in consuming a new price point(pre-clearance) in the eco-system