Outcome-led case studies, current engagements, and selected operating history.
Scaled delivery and operations from seven people to more than 150, across connected fitness products for Nike, Equinox, and SoulCycle.
what happened →Designed the explainability system, strengthened technical operations, and clarified how product, engineering, and data science worked together.
what happened →Set product direction, analytics, instrumentation, and enterprise engagement structure while the company closed its seed round.
what happened →Applied AI agency based in Montevideo, serving clients across LATAM and the US. The thesis: companies should own their AI, not rent it. Ataraxy embeds inside the client's organization, ships production systems in weeks, and transfers the capability, the infrastructure, and the data to the client's team before stepping back…
Direct engagement with one of the largest solar manufacturers operating in North America. Scope is process optimization and AI implementation: diagnosing delivery and operational gaps across the North American business, designing corrective interventions, and identifying AI implementations to support manufacturing, operations, and back-office workflows.
View engagement note →Lead delivery on data platform modernization, reporting directly to leadership. Manage the transition from Databricks to Snowflake, historical data loads, and the restructuring of pipelines and SDLC processes. Built and deployed an internal Jira dashboard on Vercel using Next.js and the live Jira API. Manage sprint planning, DevOps backlog, and DC EMS Platform standup priorities.
Delivery management consultant at squadron data, a snowflake consultancy. Two concurrent engagements, both delivery-side: cadence, milestone defense, scope and burn on t&m. Not the build. First: a 12-week rebuild of a production snowflake platform for a cybersecurity company carving out from its parent. The incumbent SI broke the salesforce integration — objects flattened, grain destroyed, zero schema-drift handling…
View engagement note →Advise the Mozart team on product strategy, roadmap definition, opportunity evaluation, and best practices for deploying artificial intelligence solutions in enterprise contexts. The role centers on contributing product judgment and implementation experience.