Adryan Taborda — Full Stack Developer
I build software that generates revenue and simplifies your operations. Django, FastAPI, and Go. Clear, fast, shipped. Brazil.
I design and ship full-stack systems: Django, FastAPI, and Go. Multi-tenant SaaS, APIs, RAG, and the UI operations use every day.
I work with product teams that need software in production: tenancy, permissions, billing, document pipelines, and search over large datasets. The stack stays stable on purpose so the product can move.
I deliver remotely from Brazil for B2B and GovTech: architecture, APIs, RAG and LLM features, and the Vue or Angular UI the operation actually opens every morning.
Vue / Angular, Django / FastAPI, Go, PostgreSQL, Docker / Linux, REST APIs, RAG / LangChain, Multi-tenant SaaS, Auth and billing.
2021 — present. Full Stack and Architect. Freelance and own products. Multi-tenant SaaS, trading, AI documents, and games — discovery to deploy.
2019 — 2021. Backend Developer. Consulting and digital products. APIs, automations, and integrations in Python, SQL, and Linux.
Architecture, APIs, AI, and front-end.
Where the product stalls, I ship the system.
Architecture: Services, data, and boundaries that grow without a rewrite.
APIs and integrations: REST, webhooks, and queues with contracts and observability.
Product AI: RAG and LLM orchestration in the real flow, not on the homepage.
Product UI: Vue or Angular. Fast, dense, usable.
SaaS and billing: Multi-tenant, permissions, trials, and Stripe.
Automation: Workers and scripts that remove ops busywork.
Discovery, build, ship.
Short cycles. Demo and decide.
01. Discovery: Real flow, risk, and what ships first.
02. Architecture: Contracts, stack, and slices before code becomes debt.
03. Build: Short cycles, demos, production quality on day one.
04. Handoff: Deploy, handoff, and a system you can keep.
In production: DocMaster
2025 · AI & Big Data / GovTech. AI-powered B2B procurement platform for Brazilian public tenders. It delivers real-time price intelligence across 13M+ government items (PNCP) and automated technical document generation (ETP) with fine-tuned LLMs (Qwen) and RAG, so purchasing teams draft faster with sourced data.
13M+ Procurement Items: Ingestion, indexing, and large-scale search with sub-second response times.
LLM Document Generation: Automated, standardized ETP drafts using Qwen and RAG pipelines.
Multi-Source Aggregation: Real-time normalization of public-tender prices and procurement data.
Live Demo: https://demodm.adryantaborda.com/
adryanftaborda@gmail.com. +55 (47) 98927-5982. Brazil.