Alana Melo

// about

From code to
company strategy

Engineering & Product Leader with 12+ years leading software teams, scaling engineering operations, and delivering technology products across SaaS, Data, AI, and Cloud environments.

At Sensorweb, I grew from Senior Software Engineer to Software Development Manager — leading a team of 14 engineers across Backend, Frontend, and QA — while simultaneously holding Product Owner and Product Manager roles. That dual perspective is what makes me effective: I speak the language of engineers and the language of business.

Today through Oryga Consultoria, I lead AI, product operations, and technology strategy for 5+ companies — driving operational scalability through automation, AI-driven solutions, and data-informed execution across product and engineering environments.

Strong background in software engineering, product management, delivery, and technology strategy — with hands-on expertise in backend systems, cloud architecture, and operational excellence.

Engineering Management AI & Automation Technical Product Python Backend Cloud Architecture Data Engineering

🏗️

Systems Thinker

From data pipelines and distributed systems to organizational structures — I design for scalability, reliability, and long-term maintainability at every level.

🤖

AI-Native Leader

Early practitioner of AI operations — building and shipping LLM-powered products using Claude and OpenAI APIs, and driving AI-led workflow automation at scale.

📊

Data-Driven Executor

Defined and monitored 30+ KPIs across engineering and product teams. Decisions backed by metrics — from sprint velocity to delivery predictability to unit economics.

🌍

Global-Ready

Professional English proficiency. Open to full relocation or remote international roles. Holds International Driving Permit (Cat. B). Comfortable across time zones.

// experience

Career Timeline

12+ years growing from engineer to product and engineering leader — across startups, consultancy, research institutions, and enterprise environments.

May 2025 — Present Oryga Consultoria · Self-employed · Remote

Product & Engineering Strategy Consultant

Led AI, product operations, and technology strategy for 5+ companies — driving operational scalability and improving engineering delivery performance
Increased engineering efficiency by 25–35%, established and monitored 30+ KPIs, and improved delivery predictability through data-driven execution and process optimization
Strengthened cross-functional collaboration and enabled scalable product and engineering operations through automation, stakeholder alignment, and AI-driven initiatives

AI OperationsOKRs / KPIsAWSGCPAutomationAgile

Aug 2024 — Jan 2026 Sensorweb · Remote, Florianópolis

Product Manager

Led product strategy, roadmap execution, and cross-functional delivery for scalable digital platforms, aligning product initiatives with business goals and customer needs
Solved delivery misalignment and product execution bottlenecks by improving prioritization, technical planning, and collaboration between product and engineering teams
Improved delivery consistency, reduced rework, and increased team productivity through structured backlog management and data-driven prioritization

Product StrategyRoadmapJiraFigmaAWSMicroservicesAnalytics

Oct 2021 — Aug 2024 Sensorweb · Remote, Florianópolis

Product Owner

Managed product backlog prioritization, product discovery, and Agile execution — ensuring alignment between business objectives, customer needs, and engineering delivery
Solved communication gaps and development inefficiencies by translating business requirements into clear user stories, technical specifications, and actionable engineering tasks
Improved sprint planning, delivery consistency, and development clarity while reducing rework through structured backlog management and stakeholder alignment

Backlog ManagementScrumKanbanJiraConfluenceAnalytics

Oct 2020 — Aug 2024 Sensorweb · Remote, Florianópolis

Software Development Manager

Led and scaled a team of 14 engineers across Backend, Frontend, and QA while driving backend architecture, delivery operations, and technical execution aligned with product and business strategy
Mentored engineers through career development plans, performance reviews, and technical coaching — improving team performance and professional growth
Improved engineering efficiency and delivery predictability through process optimization, KPI tracking, Agile frameworks, CI/CD automation, and observability tooling (Grafana, Prometheus, ELK)

PythonKubernetesDockerCI/CDGrafanaPrometheusScrumKanban

Oct 2020 — Oct 2021 Sensorweb · Hybrid, Florianópolis

Scrum Master

Facilitated Agile delivery processes, supporting engineering and product teams in improving execution consistency, collaboration, and delivery performance
Increased team productivity and delivery predictability through workflow optimization, Agile metrics monitoring, velocity tracking, and cycle time analysis

ScrumKanbanAgile MetricsSprint PlanningRetrospectives

Oct 2019 — Apr 2024 Sensorweb · Remote, Florianópolis

Data Engineer

Designed scalable data pipelines, ML solutions, and cloud-based architectures — processing millions of records monthly with automated ETL/ELT workflows on AWS and GCP
Enabled data-driven product and business decisions by integrating analytics, machine learning, and scalable data solutions into engineering and operational workflows

PythonApache AirflowApache SparkSQLAWSGCPScikit-learn

Oct 2019 — Oct 2020 Sensorweb · Hybrid, Florianópolis

Senior Software Engineer

Led backend engineering initiatives, designing scalable APIs, distributed systems, and cloud-based applications for data-intensive and real-time environments
Improved system reliability, deployment efficiency, and operational scalability through CI/CD implementation, cloud optimization, and monitoring enhancements

PythonFastAPIDjangoFlaskAWSDockerCI/CD

Feb 2015 — Dec 2020 Universidade Federal de Santa Catarina · On-site

Software Engineer — AI & Computer Vision Research

Built AI-based human gait analysis system using computer vision and ML — implemented low-cost motion capture with Microsoft Kinect for biometric identification
Applied neural network models and pattern recognition to classify individuals based on gait behavior, with applications in security and healthcare

PythonMachine LearningComputer VisionSQLNeural Networks

Jan 2014 — Jun 2015 HBS Technics · On-site, Divinópolis

Software Engineer

Developed backend systems and integrations for real-time surveillance and monitoring platforms used in operational environments
Reduced downtime and improved operational continuity through system diagnostics, issue resolution, and deployment support in client environments

PythonBackend DevelopmentSQLSystem Integration

// skills & stack

Technical Breadth

Full-stack technical leadership — from backend architecture and data engineering to AI product development, cloud infrastructure, and engineering management.

🐍

Backend Engineering

PythonFastAPIDjangoFlaskREST APIsMicroservicesDistributed SystemsSQLSQLAlchemy

☁️

Cloud & Infrastructure

AWSGCPKubernetesDockerTerraformCI/CDGitHub ActionsGitLab CI12-Factor

🤖

AI & Machine Learning

Claude APIOpenAI APILLM ApplicationsAI AgentsPrompt EngineeringGenerative AIScikit-learnComputer VisionAWS SageMaker

📊

Data Engineering

Apache AirflowApache SparkApache KafkaRabbitMQETL/ELTData ModelingGrafanaPrometheusELK Stack

🎯

Product & Leadership

Engineering ManagementTechnical Product ManagementProduct StrategyOKRs / KPIsRoadmappingHiring & Team BuildingStakeholder Management

⚙️

Process & Delivery

Agile / Scrum / KanbanSDLCWorkflow AutomationProcess OptimizationJira / ConfluenceSaaS OperationsDevOpsIoT Systems

// projects & impact

Key Projects

From AI-powered platforms to cloud-native architectures and operational transformations — real outcomes at real scale.

🤖Live

AI Automation Hub

Next.js 15Claude APITypeScriptTailwindFastAPIRecharts

Full-stack platform automating repetitive tasks using the Anthropic Claude API. Features Text Summarizer, Email Generator, Document Analyzer, and Data Extractor — with a live usage dashboard, copy-to-clipboard on all outputs, and a full REST API layer. Designed AI-native UX flows where latency and prompt engineering are first-class product concerns.

AI Tools

REST Endpoints

E2E

Full-stack

View Code ↗

🏛️Production

Cloud-Native Microservices Platform

PythonFastAPIDocker ComposeKubernetesEvent-Driven

4-service distributed system with full Kubernetes manifests implementing production-grade patterns: API Gateway with request tracing (X-Request-ID), Database-per-Service isolation, circuit breaker with 3s timeout, Event-Driven Async simulating Kafka consumers, Readiness/Liveness Probes, and Horizontal Scaling with 2 replicas per service.

Services

K8s

Orchestration

High Availability

View Code ↗

🚨Production

Alert Management Department — 0 to 1

MonitoringIncident ResponseWorkflow DesignEscalation Rules

Designed and implemented an end-to-end alert management system from scratch. Defined escalation workflows, monitoring processes for critical events, and integrated alerting tooling into daily engineering operations. Directly improved incident response time and service reliability across operational and safety indicators.

60%+

Cost Reduction

↓ MTTR

Response Time

0→1

Built from Scratch

View Code ↗

⚡Live

Production-Ready URL Shortener API

PythonFastAPISQLAlchemyDockerRedis-readyPytest

Built to practice patterns that make backends actually scale under load — caching, rate limiting, and async processing baked in from day one. TTL Cache layer (Redis-ready interface), Rate Limiting at 20 req/min per IP, Background Tasks for async click tracking, Pagination on all list endpoints, and /health with DB probe ready for k8s readiness probes. 9/9 tests passing.

9/9

Tests Passing

Redis

Cache-Ready

K8s

Probe-Ready

View Code ↗

🌡️Production

IoT Monitoring Platform — HVAC Systems

PythonFastAPIIoTReal-timeREST APIsData Integration

Designed and developed a backend system to collect, process, and expose real-time data from internally developed IoT hardware devices. Built APIs to ingest and normalize sensor data — temperature, humidity, voltage, current, and energy consumption — integrating with a centralized monitoring platform to enable predictive maintenance and anomaly detection for HVAC equipment.

Real-time Data

IoT

Hardware Integration

↓

Downtime Reduction

☁️Production

Cloud-Native Architectures

KubernetesDockerTerraformAWSGCPCI/CD

Reference implementations of cloud-native architectural patterns — infrastructure-as-code, container orchestration, observability stacks, and multi-cloud deployment strategies. Designed as a living portfolio of production-grade infrastructure decisions applied to real workloads.

IaC

Terraform

Multi

Cloud

K8s

Orchestration

View Code ↗

From code tocompany strategy

Systems Thinker

AI-Native Leader

Data-Driven Executor

Global-Ready

Career Timeline

Technical Breadth

Backend Engineering

Cloud & Infrastructure

AI & Machine Learning

Data Engineering

Product & Leadership

Process & Delivery

Key Projects

AI Automation Hub

Cloud-Native Microservices Platform

Alert Management Department — 0 to 1

Production-Ready URL Shortener API

IoT Monitoring Platform — HVAC Systems

Cloud-Native Architectures

Let's buildsomething great

From code to
company strategy

Let's build
something great