Work with vetted Talent

She ships resilient APIs and data layers, and prefers pairing on schema design before scaling traffic.

He focuses on performant UIs, strict TypeScript boundaries, and design-system alignment with product.

They own features end-to-end, from API contracts to polished screens, and document decisions for the next teammate.

She builds native-leaning experiences on iOS and Android and cares deeply about offline-first flows.

He designs multi-account cloud foundations with guardrails so teams move fast without breaking production.

She improves developer velocity with paved-path tooling, golden paths, and measurable build-and-deploy times.

They turn incident learnings into automation: SLOs, error budgets, and dashboards the whole org can read.

He pairs with app teams on least-privilege IAM, secrets rotation, and threat modeling without slowing releases.

She ships model-backed features with evaluation harnesses so quality moves with every prompt or weight change.

He bridges offline training and online inference, with strong opinions on feature freshness and monitoring.

They prototype quickly with product and tighten guardrails before any assistant faces real customers.

He builds RAG stacks where retrieval quality and citation behavior are tested like any other regression suite.

She tunes dialogue for tone and safety, and runs red-team style checks before widening rollout.

They orchestrate multi-step agents with clear stop conditions, human handoff, and traceable tool use.

She leads discovery through launch, aligning research insights with a scalable system in Figma.

He moves fluidly between marketing sites and in-product polish, keeping typography and motion consistent.

They combine moderated studies with lightweight analytics to decide what to simplify next.

He runs structured experiments across paid and organic, and ties spend to pipeline with honest attribution notes.

She owns narrative and nurture programs, aligning editorial calendars with activation and retention goals.

He helps leadership choose where to play, with clear financial tradeoffs and a sequenced execution view.

She maps processes to bottlenecks, then designs KPIs and rituals so improvements stick after the project ends.

She keeps engineering, design, and stakeholders aligned with transparent RAID logs and predictable demos.

He runs multi-team programs, escalates risks early, and protects teams from thrash while dates stay credible.

They connect discovery evidence to roadmap bets, and communicate tradeoffs so GTM and engineering share one story.

He partners with platform and API teams, writing crisp requirements that engineers can estimate without guesswork.

She deploys models as boring, observable services and pushes MLOps hygiene so rollbacks are routine, not panic.