Leading development of the core tax engine that powers sales tax calculations all over the globe

Tech: Python, duckdb, Postgres, C++

Developing an application utilizing technologies such as Golang, Python, gRPC, Postgres, Apache Kafka, and ReactJS.

Integrating custom Machine Learning (ML) models to better predict and classify data.

Led 0-to-1 development of the Leads, Opportunity, Contact, and Case modules within the CRM application for the Monetization organization.

Led the development and delivery of the first version of forecasting tools for the Opportunity module, collaborating with stakeholders to integrate ML models for improved predictions on advertisers' budgets.

Designed and implemented an automated workflow approval system, enabling stakeholders to configure workflows with A/B testing.

Contributed to the in-house GraphQL library to make it more dynamic and memory efficient using Memcached, Redis and an ORM-styled approach.

Led 0-to-1 development of the Leads, Opportunity, Contact, and Case modules within the CRM application for the Monetization organization.

Led the development and delivery of the first version of forecasting tools for the Opportunity module, collaborating with stakeholders to integrate ML models for improved predictions on advertisers' budgets.

Designed and implemented an automated workflow approval system, enabling stakeholders to configure workflows with A/B testing.

Contributed to the in-house GraphQL library to make it more dynamic and memory efficient using Memcached, Redis and an ORM-styled approach.

• Worked on Textura Payment Management(TPM) cloud application for management of construction projects which falls under Oracle's global construction and engineering business unit.

• Created a data pipeline to provide insights on projects, timelines, and payments for the TPM application. Developed the pipeline using Python, Kafka, and PostgreSQL/OracleDB.

• Worked closely with stakeholders to implement and refactor complex budgeting tasks.

• Contributed to the CI build pipeline and reduced build time by 90% (from 20 minutes to an average of 2 minutes) using Docker multi-stage builds and Kubernetes to improve container efficiency in development/testing workflows.

• As part of the security team, fixed and prevented XSS, CSRF, SQL injection attacks. Integrated the use of Vault in microservices for private key sharing.