Backend lead on LinkedIn's Marketing Solutions (LMS) platform, working across ads infrastructure, AI-powered creative tooling, and content platforms serving LinkedIn's $5B+ feed advertising business. Previously led the Publishing and Newsletters backend team.

• Led the sponsored ads tracking migration for SDUI (LinkedIn's next-gen feed), taking over as technical lead coordinating 8-10 engineers across four teams and building the ETL, dashboards, and daily reporting that became core investigative infrastructure.

• Technical lead for Auto Brand Kit, an AI platform that generates on-brand ad creatives for advertisers, laying the foundation for a $14M incremental revenue roadmap.

Backend lead in the Publishing team, in charge of the newsletter and long text content platform. These features are used weekly by companies and members such as Bill Gates or Wall Street Journal, and actively consumed by more than 700M subscribers.

• Led a partnership with the revenue team to onboard newsletters and first party articles as sponsorable content, bringing +$10M in the first months.

• Delivered initiatives responsible for a 10x increase in newsletter subscribers, such as enabling companies to create newsletters, or creating a workflow to send newsletter invites when following authors.

Part of the Commerce area, responsible for services with ~20 million requests per day that handle the end-to-end ticketing process flow.

* Ported core features from a Django monolith to a microservices architecture, refactoring and enhancing legacy logic that resolved in considerable performance and throughput improvements.

* Implemented a redeemable credits system through a cross international team collaboration that brought in about $500k revenue in its first weeks during the COVID-19 times.

Played an integral part of a full-stack application that forecasts advertising media plans for multi-million-dollar media companies, including Viacom and Fox.

* Developed backend microservices in Python/Flask that transformed and served data science outputs.

* Significantly improved data scientist's performance by integrating complex predictive models with software solutions as AWS Services, Airflow and RabbitMQ.

* Contributed to frontend tasks writing Vue.js+Vuex components, as an authentication Auth0 flow, data D3.js representation, and SocketIO real-time events.

Software Engineer in Comcast’s Advanced Advertising group. Responsible for building internal tools, APIs, and libraries to increase reliability, maintainability, and productivity of multiple engineering departments.

* Built APIs using Flask, Celery, and Redis used to orchestrate internal environment management.

* Developed common Python libraries used by multiple engineering departments managing programmatic Docker container creation and Database connection handling.

* Led efforts to move a MSSQL reporting system to run on Linux by developing custom Python frameworks to manage workflow.