Carlos Álvarez

▪ Led frontend development of Self-Booking Flow, a micro-frontend app enabling parents to book trial lessons independently from Sales. Achieving CAC -10% and Customer Acquisition +5%. Mentored Junior dev, onboarded 2 devs. Over 10 flow variations (A/B tests). Involved in architectural decisions to reduce tech debt and keep balance between speed and quality.
▪ Optimized Sales App by refactoring API calls, reducing search latency by 40% and enhancing workflow efficiency for 2,000+ sales reps.
▪ Developed and maintained an internal UI library, standardizing design across multiple projects.
▪ Collaborated directly with the CTO to implement the Self Checkout micro frontend in Next with Stripe.
▪ Implementation of Waiting Room micro frontend in Remix.
▪ Front End tech stack: React with TypeScript, Redux, and Tailwind CSS, unit tests with Jest and E2E with Playwright.
▪ Monitored crashes and UX analytics using DataDog, used Firebase events, A/B testing with Optimizely and Storybook for internal UI library.

Danalto is radio-agnostic IoT platform which provides high-accuracy positioning intelligence services across large open enterprise environments.

▪ Led research of GIS solutions to build custom dashboards. Implemented a generic Asset Tracking dashboard in React and API in Django rest framework, reading geospatial data from InfluxDB. Geofencing and historical positioning data were part of the dashboard among other features.
▪ Exposure to telecommunications engineering, acquiring general knowledge on LoRa 2.4GH, UWB, BLE and multilateration algorithms to locate assets by using a minimum infrastructure of at least 3 Anchors 1 Tag and 1 gateway.
▪ Responsible for prototyping and implementing a mobile app (PWA) for installing devices.
▪ Maintenance and performance improvements on Operations dashboard to monitor key IoT stats like device battery, lost messages vs Ideal messages based on keep alive frequencies, Gateway status, etc.
▪ Writing decoders for different types of IoT sensors.
▪ Rotating the role of Scrum Master.
▪ Used Gitlab CI/CD Pipeline with different stages: static code analysis, unit & integration testing, deploy.
▪ Used AWS - We spinned up EC2 instances in each dev env. Monitored services using CloudWatch. Post process device data in Lambda functions and stored device installation images in S3 buckets.
▪ Used Grafana dashboards for monitoring services and device messages.
▪ Tech stack: React, Django, Celery, Postgres, InfluxDB, Kafka, Docker.