Sebastián – Node.js, Typescript, Nest.js

A data-centric AI platform that helps teams manage, label, curate, and evaluate training data for machine learning and generative AI systems.

• Evolved EmailPool, managing 3,000+ connected email accounts, by shifting the platform from polling to webhook-driven event notifications with synchronization fallback.
• Led the transition from a multi-tenant to a single-tenant architecture to improve customer isolation, scalability, and future growth.
• Evolved the authentication platform by contributing to migrations across Clerk, Auth0, and Keycloak and implementing caching strategies to improve performance and reduce latency.
• Contributed to the migration from RabbitMQ to gRPC, simplifying service-to-service communication and improving maintainability.
• Designed and implemented a scalable batch processing system that synchronized thousands of users into the AI agent platform as prospects.
• Improved platform resilience by implementing liveness and readiness probes for independent service health monitoring.

A digital product development company focused on helping businesses build and improve software products, from product strategy and design to development and delivery.

• Architected the billing platform, implementing subscription management, usage-based credits, and flexible pricing with Stripe.
• Designed the integration platform, delivering 10+ CRM and ERP integrations and synchronization pipelines processing 300,000+ CRM records.
• Architected the email platform, integrating Google, Microsoft Outlook, and IMAP/SMTP providers and managing 450+ connected email accounts.
• Architected the SMS platform, integrating 10+ providers, including Close, Kixie, and Sakari.
• Architected authentication and authorization with a reusable Clerk-based package shared across backend services.
• Built a reusable query framework for filtering, sorting, pagination, field projection, and relationship loading across multiple services.
• Developed AI services that analyzed organizations, generated structured company profiles and business objectives, and supplied context for AI agents.
• Developed shared backend libraries and engineering tooling while contributing to SOC 2 readiness through disaster recovery documentation.

A B2B SaaS asset management platform that helps organizations scale reuse and support circular economy practices while reducing procurement and storage costs and minimizing waste.

• Collaborated on the design and implementation of an organization-level RBAC model to provide fine-grained control over resource visibility and management.
• Contributed to the planning and execution of a large-scale PostgreSQL data migration to support the new authorization model while preserving data integrity.
• Enhanced search capabilities using Elasticsearch and OpenSearch, improving resource discoverability through query optimization and synonym-based search.
• Developed backend functionality supporting resource lifecycle management, including resource creation, membership relationships, and visibility across organizations.
• Integrated Intercom to ingest customer communication data, enabling richer operational insights and improved support workflows.

An AI-powered sales platform that uses autonomous sales agents to engage with prospects and drive conversions. The product aims to deliver significantly higher conversion rates than traditional human-led sales processes by automating and optimizing customer interactions.

• Designed and implemented the backend architecture behind the platform's quote management experience, enabling customers to create, manage, share, and track quotes.
• Architected and developed a configurable workflow automation engine supporting organization-wide and conversation-level workflows for leads, missed calls, quote reminders, follow-ups, and quote status changes.
• Designed an event-driven architecture using RabbitMQ to decouple backend services and enable scalable communication across platform capabilities.
• Leveraged BullMQ to orchestrate asynchronous jobs, managing execution, scheduling, and processing state for reliable automation workflows.
• Developed REST and RPC APIs powering AI-generated meeting transcripts, conversation insights, and core product experiences.

An internal data platform serving as the organization’s single source of truth, providing centralized and reliable access to organizational data.

• Designed and implemented serverless ETL workflows using AWS Step Functions and Lambda to orchestrate real-time data synchronization across enterprise systems.
• Built serverless data processing pipelines on AWS using Step Functions and Lambda, enabling reliable real-time data synchronization.
• Contributed to the design and implementation of CloudDNA v3, developing backend services and platform capabilities supporting enterprise-scale data integration.
• Collaborated with DevOps engineers to define AWS infrastructure as code using CloudFormation, supporting scalable and maintainable platform deployments.
• Developed GraphQL and backend APIs to expose consistent, reliable data across internal Autodesk applications.