WESLEY DALPIVA
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Python backend / architecture to production

Backend Software Engineer

I build Python backend systems from architecture to production. 5 years across healthcare, sports, smart cities and enterprise software, with 5 greenfield products delivered alongside clients.

  • PYTHON
  • FLASK
  • APIs
  • GCP
Wesley Dalpiva, Backend Software Engineer
Wesley Dalpiva / Backend Software Engineer

Recent systems, real constraints.

02Systems

Three recent products presented through the problem, scale and technical responsibility while preserving confidential information.

01

SPORTS / AUTOMATION

Training Management Platform

Full-stack coaching platform that turns weekly prescriptions into scheduled messages, athlete uploads and structured training data.

Scale

2
coaches
~70
athletes
49%
growth of active runners in 3 months
70+
weekly plans
140
automated weekly messages
~22
daily uploads

Role

Backend Engineer / Full-stack owner

Stack

Python / Flask / Firestore / GCP / Next.js / TypeScript

Responsibilities

  • Backend architecture and REST APIs
  • Training scheduling, automated messaging and delivery reporting
  • Authentication, async jobs, testing, migrations and CI/CD
  • Next.js and TypeScript product frontend
02

HEALTHCARE / COMPUTER VISION

Hospital Monitoring Systems

Separate healthcare products with Flutter applications and shared Python services supporting hospital monitoring workflows, presented without confidential product names.

Scale

12
hospital beds
10
healthcare professionals
3
developers led
1
hospital pilot

Role

Backend Engineer / Technical lead

Stack

Python / Flask / Flutter / OCR / Computer Vision / GCP

Responsibilities

  • Shared Python services and API design
  • Architecture, code review and delivery leadership
  • OCR integration for medical monitor data
  • Client-facing requirements and technical decisions
03

ENTERPRISE / GREENFIELD

Enterprise Questionnaire & Analytics Platform

Internal platform built from scratch to replace Google Forms with managed questionnaires and first-party analytics.

Scale

12
business modules
~1,500
users
100,000+
responses

Role

Software Engineer / Client-facing contributor

Stack

React / Java / REST APIs

Responsibilities

  • React screen implementation
  • Client communication and requirements gathering
  • Technical decisions in a greenfield system

Backend ownership, measurable outcomes.

03Experience

I take systems from ambiguous requirements to tested APIs, cloud deployment and long-term operation.

QuatroIn

Joaçaba, Santa Catarina, Brazil

Current

Software Engineer

Own backend and full-stack product delivery from client discovery and architecture through deployment and long-term maintenance, with Python services at the center.

  • Built and owned a coaching platform end to end, replacing a spreadsheet-to-WhatsApp workflow that took approximately five hours to prepare and send weekly plans for 50 runners; implemented a Python/Flask and Firestore backend with a Next.js/TypeScript frontend.
  • Cut training-plan authoring from approximately five minutes to 90 seconds per runner and automated weekly delivery in approximately 10 minutes, while providing per-recipient success and failure reporting within the messaging API's rate limits.
  • Supported the client's growth of 49% within three months; the platform currently serves two coaches and approximately 70 athletes with 70+ weekly plans, 245 training sessions, 140 automated messages and approximately 22 daily uploads.
  • Led up to three developers across separate healthcare products, making architecture decisions, reviewing code, planning delivery, unblocking the team and working directly with clients.
  • Designed shared Python/Flask services and worked across Flutter applications for a hospital pilot supporting 12 beds and 10 healthcare professionals; integrated OCR-based medical-monitor data extraction to reduce manual transcription.
  • Helped build an internal questionnaire and analytics platform from scratch, replacing Google Forms and serving approximately 1,500 users with more than 100,000 responses across 12 business modules; contributed React screens and technical decisions with clients.

Stack: Python / Flask / Firestore / Firebase Auth / GCP Cloud Run / Cloud Run Jobs / Docker / Next.js / TypeScript / React / Pytest / Git/GitHub / GitHub Actions / Microservices

Software Engineer Intern

Built an IoT monitoring product from zero and contributed to cloud delivery, production debugging and client-facing engineering.

  • Built a Tago.io dashboard from zero to monitor four distributed STM32 devices, surfacing visual failure alerts and sending email notifications during validation.
  • Contributed embedded firmware changes and collaborated on cloud deployments, production debugging, documentation and client-facing technical discussions.

Stack: Python / JavaScript / HTML/CSS / Tago.io / STM32 / C/C++ / Docker / GCP / Git/GitHub

University of Western Santa Catarina (UNOESC)

Joaçaba, Santa Catarina, Brazil

Academic Research, Biomedical Rehabilitation Systems

Supported biomedical rehabilitation research through real-time signal acquisition, embedded firmware and hardware-software integration.

  • Developed Python software for real-time acquisition and visualization of 12-channel EMG and encoder signals, storing experiment data in proprietary files and using MySQL to map data folders.
  • Implemented C/C++ firmware that digitized and synchronized analog signals and transmitted them to a computer over USART, supporting biomedical rehabilitation research.
  • Participated in PCB design, hardware validation and system testing throughout the research lifecycle.

Stack: Python / C/C++ / USART / MySQL / Git/GitHub

The backend is the center of gravity.

04Stack

The stack reflects the work that takes Python services from API design to reliable production delivery.

A

Backend Core

The technologies and practices closest to my day-to-day backend engineering work.

  • Python
  • Flask
  • REST APIs
  • API Design
  • Authentication & Authorization
  • Async Jobs
  • pytest

B

Data & Persistence

Data stores and delivery patterns used to build dependable product workflows.

  • Firestore
  • MySQL
  • Data Modeling
  • Migrations
  • Firebase Authentication

C

Cloud & Delivery

Infrastructure and delivery practices that take software into production.

  • GCP Cloud Run
  • Artifact Registry
  • Cloud Run Jobs
  • Docker
  • GitHub Actions
  • Git/GitHub

D

Supporting Technologies

Additional tools from product, mobile, frontend, enterprise and embedded work.

  • Next.js
  • TypeScript
  • JavaScript
  • React
  • Flutter
  • Java
  • C/C++
  • Tago.io

Beyond the production backlog.

05Additional

Hands-on engineering outside day-to-day product delivery.

8th place / 76 robots

RCX 2024 Robotics Competition

Competed with an autonomous line-following robot and ranked eighth among 76 entries.

Volunteer

Brazilian Robotics Olympiad

Supported the organization of a national robotics education initiative as a volunteer.

Open to backend opportunities.

06Contact

For Python backend engineering, APIs, architecture, production systems or a good technical conversation:

Open to opportunities

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