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Felipe Viana

Founder Engineer · Medellín, Colombia

WhatsApp +57 318 323 9505 · linkedin.com/in/felipevianas · github.com/vianasfelipe

Summary

Founder Engineer · Leading Health Tech teams to ship software that meets the clinical bar.

Two-time founder. I build at the seam of design, engineering, and the people doing the work. I work end-to-end — from pre-sales and solutioning to the first sketch and the system in production — and I help teams ship things that feel inevitable.

Experience

  • EPAMDelivery Manager · Health & Life Sciences · Nov 2025 — present

    Leading Health Tech delivery for global clients.

    I lead delivery on Health Tech engagements where the regulatory bar makes the craft sharper. I work end-to-end with clients: architecture, hands-on technical decisions, and the cadence that lets a team ship in a regulated environment.

    • Medical Device Data System · Nov 2025 – Present. Delivery of a large-scale, cloud-native data platform that integrates diagnostic medical devices with an AI-assisted software ecosystem. The platform ingests biometric and imaging data (including DICOM), processes it through standardized pipelines, and powers downstream analytics, visualization, and decision-support features.Stack: Python, Databricks, +4 more
  • AI agent in a regulated-adjacent domainSolo · learn by building · 2024 — present

    A personal project. I build an AI agent that reads unstructured records and drafts grounded outputs — using it as a testbed for tool use, evals, and everything I want to learn about agentic systems.

    I picked a hard, structured problem on purpose: it forces every interesting agent question at once — how do you keep the LLM from making things up, how do you cite evidence, how do you build evals worth trusting, how do you design a rule engine the model can't override. Learn-by-doing, on the side, no commercial pressure.

    • Multi-model agent design — different Claude models routed by task (extraction, comparison, rule synthesis).
    • Defense-in-depth grounding: LLM output treated as untrusted candidate data, re-validated by deterministic tools.
    • Evidence-linked outputs — every extracted item points back to its source text.
    • Offline eval harness against expert-labelled cases, with recall and false-positive gates.
    • End-to-end solo build: product surface, backend pipeline, rule engine, AWS deployment.

    Stack: Anthropic SDK, FastAPI, PostgreSQL, AWS, Agent evals, +6 more

  • AddSkinCo-founder

    A skin-tech product at the intersection of health and design.

    Second venture. Closer to the Health Tech bar — clinical-grade clarity, consumer-grade craft.

  • BookToFlyCo-founder · Jun 2015 — Mar 2023

    An online platform where travel agencies sold their services under their own brand and negotiations.

    Co-founded and built end-to-end — product, engineering, integrations, and the first customer calls.

    • Built the first version of the BookToFly API platform and pitched the product to early customers across Latin America.
    • Led a team of 10+ people, sustaining a customer retention rate above 90%.
    • Led the integration of major travel providers via web services — Amadeus, Sabre, Kiu, and Hotelbeds.
    • Grew annual recurring revenue from $0 to $300,000 USD in the first five years.
    • Expanded the customer base across Latin America and the United States.

    Stack: MongoDB, Object-Oriented Programming, +3 more

Skills

DesignClarity over cleverness. Hierarchy over decoration.
  • Design systems. Tokens, primitives, and documentation that survive contact with a growing team.
  • Information design. Dense product UIs — clinical, financial, operational — that read at a glance, not a squint.
  • Prototyping in code. I prototype in the real stack — Figma for layout, the codebase for behavior.
EngineeringBuilt with passion, built with purpose, built to count.
  • Full-stack TypeScript. Next.js, tRPC/REST, Postgres, plus the AI/agent surface area (Anthropic SDK, tool use, evals).
  • Systems that age well. Migrations as a first-class concern, contracts at boundaries, fewer abstractions.
  • Performance & DX. Faster local builds, faster CI, faster onboarding — compounding wins for the team.
LeadershipHigh performing teams, clear mission, extreme ownership.
  • Leading project teams. Currently leading Health Tech engagements at EPAM — multi-disciplinary squads, ambiguous problem spaces, regulatory constraints.
  • Founding & hiring. Two companies, two founding teams. Calibrated rubrics, transparent leveling, frequent 1:1s.
  • Written culture. Decisions, postmortems, and design docs that compound team knowledge.

Interests

Health Tech · AI agents · Typography & craft · Endurance sports