• Leading the development of Innit’s FoodLM platform enables you to generate personalized recipe content for marketing and e-commerce.

Working as a technical lead/advisor to various startups.

• Responsible for migrating Amazon's cross-currency payment flow (+30k RPS) to a decoupled payment architecture.• Launched a targeted content banners for FX customers, which increased avg. spending per order by 1.1.• Optimized the team's AWS cost by +60k$ yearly, designed the team's AWS account management.

• Worked on rearchitecting Zalando's product onboarding pipeline consist of +5 services including data retrieval, dedup-detection, auto-validation, manual-validation (ui, task distribution, vendor management). The system was processing +40m article updates per day. • Lead the implementation of an exporter system that notifies thousands of partners on how to format the data before sending articles to Zalando.• Introduced and led the backlog grooming meetings & mentored a junior.

• Led the growth of the team from 3 to 7 members while ensuring quality and time expectations. • Architected and led the implementation of a distributed, near-real-time ETL consisting of 15+ services including aggregation, classification, campaign, scoring, labeling, recommendation and search. • Developed a personalized nutritional scoring algorithm by closely collaborating with a scientific committee. The scoring algorithm is adapted by Carrefour and Intermarche in their online grocery products.• Created user-facing APIs used in production by 6 largest online grocery retailers with +10 million users.

• Worked with the platform team of Innit - a well-funded San Fransisco based food-tech startup - to build MVPs and solve infrastructural challenges.• Migrated legacy PHP monolith to 10+ microservices in Java & Dropwizard.• Set up the AWS & CI/CD environment, and automated the deployment of apps inside Docker (Linux) containers.• Implemented an API Gateway proxying HTTP & Websocket requests and integrated OAuth2 authentication.• Migrated an RDF-based recipe model into relational and created a data entry & management service in Java & Vaadin.

• Worked with the Shazam's data team to build a metadata processing system with over a billion data records in MySQL.• Refactored the metadata selection process by agglomerative clustering.

• Worked with the platform team of Shazam - a London-based music-tech company - to build a high-performance bulk email service in Scala for over 450 million users.• Implemented core module for testing, and wrote unit, integration, and functional tests.