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Lucas Milanez
Available
Python Backend DeveloperBackend • FastAPI · Flask · pgvectorAI Tooling • MCP · Claude API

Lucas Milanez

I build Python backends and data pipelines that replace manual processes with tools non-technical teams actually use — REST APIs, internal dashboards, and automation workflows.

Guimarães, Portugal
Open to Remote & On-site
Available for Projects
  • 2+ years shipping Python backends and 3+ internal apps in daily production use
  • FastAPI, Flask, PostgreSQL + pgvector, Redis, MCP, Claude API, Next.js
  • Builds for real users — non-technical teams in production and operations
Work With Me→Download CV

Get to know me

About Me

I own projects end-to-end — from database modeling and API design to deployment and user onboarding. Most of my work lives in environments where downtime means a production line stops, so I build for reliability and simplicity first.

Age

29

Email

Lucas.milanez@hotmail.com

Location

Guimarães, Portugal

Languages

Portuguese, English(B1), French(A2)

Availability

Available for Projects

Technical Arsenal

Skills

Main stack I use daily and technologies I'm expanding into.

Core expertise

Backend & APIs

Python-first

PythonFastAPIFlaskDjangoRESTPydanticSQLAlchemy
  • ⚡Automation, ETLs & jobs
  • 🏗️Clean architecture & best practices
  • 🧪Testing with pytest & unittest

Data Analysis

BI & insights

PandasNumPyPower BITableauExcel
  • 🎨Story-driven dashboards
  • ☁️ETL & modeling

Databases

SQL & performance

PostgreSQLMySQLSQL ServerSQLite
  • 🛡️Governance & security
  • ⚡Query optimization & data modeling

DevOps & Deploy

Continuous delivery

DockerGitCI/CDLinuxBashPostman
  • 📦Containers & stable environments
  • 🔄Automation with GitHub Actions

Expanding capabilities

Frontend

currently learning

Next.jsReactTypeScriptTailwindHTML/CSSJavaScript

Focused on full-stack projects, clean UX, and reusable components.

Learning Journey

Education & Certifications

Software Engineering (B.Sc.)

UNOPAR

2024 - Present

Next.js

Udemy

2025 - In progress

Deep Learning for AI Applications with Python and C++

Data Science Academy

2025

FastAPI for Web APIs

Udemy

2025

Web Development in Python (Flask & Django)

Estácio de Sá

2024

Portfolio

Projects

Lanez

Self-hosted MCP Server for Microsoft 365

2026
FastAPIPostgreSQL + pgvectorRedisMCPClaude HaikuMicrosoft GraphReact

Open-source MCP server that turns Microsoft 365 into context for any AI client (Claude Desktop, Cursor, Kiro). Replaces Microsoft Copilot ($30/month) at ~$1/month with semantic cross-service search, persistent memory, and automatic pre-meeting briefings generated by Claude Haiku 4.5. Exposes 9 MCP tools over JSON-RPC 2.0 (spec 2025-06-18).

  • 9 MCP tools with JSON-RPC 2.0 handshake (initialize, tools/list, tools/call)
  • Semantic search across Calendar, Mail, OneNote, OneDrive in <2s (all-MiniLM-L6-v2, 384d)
  • Pre-meeting briefings via Graph webhooks + Claude Haiku with prompt caching
  • Persistent memory (save_memory / recall_memory) across sessions and clients
  • Append-only audit trail, OAuth 2.0 + PKCE, Fernet AES-256 token encryption
  • 100% open source · Fly.io + Vercel + Neon deploy at ~$1/month
View Live

Internal Operations Platform

Multi-app ecosystem for manufacturing teams

2023–2025
FlaskFastAPIPostgreSQLSQLAlchemyREST API

Suite of 3+ internal web applications that replaced manual spreadsheet workflows for 20+ non-technical users in production and operations. Reduced recurring reporting tasks from hours to minutes with browser-based tools for request tracking, incident reporting, and daily operations management.

  • 3+ apps used daily by non-technical teams
  • REST APIs with Python backend logic and SQL integration
  • Relational database modeling for business workflows
  • Reduced manual reporting effort across departments

Production & Commercial KPI Dashboard

Data-driven decision support for leadership

2024
Power BIPythonSQLPandasETL

Executive dashboard consolidating production metrics and commercial data from 4+ sources into a single view. Built with Power BI connected to Python ETL pipelines, cutting weekly report preparation from ~3 hours of manual work to automated, real-time delivery.

  • Consolidated production and commercial KPIs
  • Automated ETL pipelines replacing manual data prep
  • Interactive drilldowns for leadership decision-making
  • Reusable Python scripts for recurring reports

Data Analysis Dashboard

Interactive analytics workspace

2025
PythonStreamlitPandasPlotly

Interactive analytics dashboard processing 10k+ rows of coffee sales data with automated ETL, revenue forecasting, and visual storytelling. Helps stakeholders compare market performance and spot growth opportunities in seconds.

  • Real-time KPIs and drilldown exploration
  • Comparative analysis across Melbourne & Sydney markets
  • Dark-themed UI with interactive heatmaps and trend charts
  • Exportable insights built with Streamlit
View Live

Let's Connect

Get In Touch

Download CV

Or connect with me on:

LinkedInGitHubEmail