Inconsistent patterns across the product
Similar problems get solved in different ways across the UI, API, state, data models, and integrations — increasing bugs, friction, and review time.
I help B2B SaaS teams move from product complexity to shipped software — improving frontend architecture, backend APIs, integrations, workflows, and the technical decisions that slow delivery down, while identifying where AI can remove real friction.
18+ years building production software across SaaS, healthcare, industrial systems, complex workflows, and long-lived products
When delivery slows down, the problem is rarely just "more frontend work" or "more backend work." It is usually product complexity spreading across the stack: unclear data flows, fragile architecture, inconsistent patterns, integrations, permissions, and workflows that keep growing sprint after sprint.
Similar problems get solved in different ways across the UI, API, state, data models, and integrations — increasing bugs, friction, and review time.
Coupling grows between frontend, backend, product logic, and data flows until simple changes require too much coordination and too much risk.
Forms, permissions, state, workflows, validations, and edge cases pile up until simple changes stop feeling simple.
Dashboards, tables, filters, reports, imports, exports, and API calls start hurting usability and engineering speed at the same time.
I help teams standardize patterns, simplify product architecture, connect frontend and backend decisions, and improve the parts of the system where complexity slows delivery the most.
Most teams don't need an "AI strategy." They need someone who can take a real process — support, onboarding, reporting, data entry, document handling, coaching, QA — and ship a working AI feature inside the product they already have.
That's full-stack work: data flows, APIs, prompts, evaluation, UX, fallbacks, and cost control. The same engineering discipline I bring to the rest of your product.
Where AI usually pays off in B2B SaaS
A few examples of the kind of products, systems, and teams I've supported across the stack.
A product-led sports platform for tournament organization, live results, sponsor visibility, and community engagement. Includes Match Flow, a live match tracker with an AI coach that reads the momentum of a tennis or padel match and gives players real-time insight while they play — LLM integration, live data flows, and sport-specific prompt design built into a production feature.
Complete rewrite of a 14-year-old cross-platform study app — unifying separate iOS, Android, and desktop codebases into a single modern frontend serving 1,000+ languages and tens of millions of users. Contributed atomic UI components, end-to-end user workflows, and a deep research interface, in close collaboration from design spec to production.
Browser-based tools used in German engineering environments with structured technical data, validation logic, backend workflows, production data, release automation, and high-trust operational requirements.
A Three.js + Vue application for advanced dental and craniofacial scan analysis, high-resolution imaging, complex planning workflows, and production-grade user interaction around heavy visual data.
Long-lived public-sector health systems with real operational pressure: patient records, databases, reporting tools, internal workflows, user training, and continuity requirements.
We align on the product, the users, the business constraints, the current stack, delivery friction, and the kind of support that would actually help.
I identify the highest-leverage issues across the frontend, backend, data flows, integrations, architecture, and product workflows — including where AI could remove real friction, and where it would just add complexity.
I work directly inside the product to ship improvements across the stack with clear priorities, pragmatic tradeoffs, and practical checkpoints.
Important decisions, patterns, and tradeoffs get documented so the product becomes easier to maintain after I step out.
Direct senior collaboration across the stack. No junior rotation, no dependency trap, no unnecessary process overhead.
I’m Saulo Vargas, a senior full-stack engineer with 18+ years building production systems across SaaS, healthcare, industrial platforms, public-sector software, sports tech, and long-lived product codebases.
Frontend has been one of my strongest edges for years, but most of my work has never been frontend-only. I’ve built interfaces, backend APIs, databases, integrations, internal tools, operational workflows, and production systems used by real teams in real environments. More recently, that includes integrating LLMs into production features — like the AI match coach I built for EntrenoLibre’s Match Flow.
RusticIT is my independent practice for working directly with teams that need senior product engineering support across the stack.

Senior Full-Stack Engineer
If product complexity is slowing delivery — or you know AI could improve your product or processes but nothing has shipped yet — I can help you find the real bottlenecks and work on the fixes that improve velocity, quality, and maintainability.
I'll reply personally and let you know quickly whether I'm the right fit.
Prefer reading first? Read Beyond CodeShare a bit of context about your product, your stack, the delivery bottlenecks you're dealing with, or the kind of support you need. I'll review it personally and get back to you.