Federico Cohen Correa

Led and contributed to the design and delivery of 10+ digital products across US and LATAM startups and mid-size companies, spanning SaaS platforms, marketplaces, and AI-driven systems.

• Led end-to-end product initiatives from problem definition and discovery through system architecture design, interaction modeling, and production deployment.
• Defined scalable product architectures and design systems aligned with engineering constraints and long-term maintainability.
• Vibecoded functional prototypes and production-ready features using modern web tooling and AI-assisted workflows, enabling rapid architectural validation and reducing early-stage engineering dependency.
• Co-built and shipped multiple 0→1 MVPs, contributing to product strategy, technical feasibility, and architectural decisions.
• Leveraged AI across research synthesis, competitive analysis, product definition, prototyping, and refinement workflows to increase speed, clarity, and iteration depth.
• Partnered with founders, product owners, scrum masters, QCs, and engineers to align business goals, user needs, and technical feasibility into scalable product solutions.

Delivered UX & UI design for web platforms, email campaigns and branding for diverse clients.

Co-defined and co-built a 0→1 marketplace MVP connecting agricultural producers and contractors in Argentina.

• Designed the full product architecture, service taxonomy, complete UI system, and core marketplace interaction model.
• Vibecoded the complete MVP alongside a Product Owner, building all core features and layouts directly in code.
• Implemented end-to-end product functionality using Next.js, Vercel, Vercel Blob, Clerk, Postgres, and Google Maps integrations.
• Defined and aligned early-stage validation metrics with client marketing teams to measure user engagement and transaction signals.

Redesigned the core architecture of a regatta management SaaS used by sailing clubs and championship organizers.

• Re-structured platform workflows into a role-based, lifecycle-driven system aligned with real-world operational complexity.
• Defined scalable interaction models to support multi-stage championships and regulatory processes.
• Conducted on-site field research during live championship events to validate constraints and workflow realities.
• Designed and architected core workflows for a platform supporting 80+ championship events, serving 40k+ registered participants and 150k+ sessions.

Explored and prototyped AI-driven legal intelligence workflows for a venture-backed predictive litigation platform used by general counsels and litigation finance teams.

• Designed and prototyped a GPT-powered deep research tool to identify high-probability litigation cases for funding evaluation.
• Rapidly prototyped alternative product directions, including executive-level dashboards and litigation portfolio tools with predictive case insights.
• Shaped predictive analytics workflows that connected AI outputs such as outcome probabilities and settlement projections to concrete legal decision points.
• Partnered with product and legal leadership to prioritize features in a high-velocity startup environment focused on rapid validation and iteration.

Led platform restructuring and interaction redesign for a creative review and approval platform used by retouchers, art directors, and production teams.

• Redesigned core interaction flows and UI components to improve clarity, usability, and feedback velocity in multi-round asset review workflows.
• Structured and scaled the design system with remodeled and newly defined components supporting evolving product capabilities.
• Defined and documented a robust role and permission architecture to support diverse profiles and secure access patterns.
• Established optimized handoff principles and delivery standards to increase design-to-code efficiency and reduce rework.

Other projects