Anthony Alves Email & Phone Number

United States

United States

London, England, Gb

🇺🇸 US TeamI was an early engineer on the US team, tasked with ensuring product market fit and creating a world-class banking experience for the US. I worked with vendors for payment processing, developed app features, core banking, and launched the product out of beta.On a day-to-day basis, I specialize in Golang, Cassandra, NSQ, Kafka, BigQuery, and more.👫 Joint AccountsI led the design and development of Monzo’s joint account offering, taking it from a hackathon idea to production implementation. This resulted in one of the most active customer cohorts, with over 70% Weekly Active Users. I led the cross-disciplinary project with the UK signup team, our partner bank, payment processor, design, customer operations, data, and engineering for a successful launch.👥 LeadershipI was involved in the hiring process for backend engineers and mentored and coached junior+senior engineers. I helped foster a remote-first culture with daily team Slack huddles for continuous learning, questions, code-pairing, and general chatting.

London, England, Gb

London, England, Gb

DAS Budget is transforming envelope budgeting. No more manually entering transactions and funding buckets. You set your expense target amount and due dates and let the app do the rest. Start making Dollars and Sense of your budget.

Charlottesville, Virginia, Us

Developed products and services for advanced data science and machine learning in the NASCAR domain. Deploy and manage services in multiple domains such as REST APIs, user interfaces, atop Kubernetes clusters.

Melbourne, Florida, Us

- Investigate and create maneuvers to thwart DDoS (low/high-volume) attacks in a multi-protocol (HTTP, TCP, DNS, SSL/TLS...) environment using reverse proxies- Designed and deploy virtual machine & containerized testbeds for cyber experimentation- Integrate projects with DevOp tools (ELK, Docker, Ansible, Gitlab-CI)

Melbourne, Fl, Us

Develop Android application to interface with a remotely controlled model train set for autonomous speed control in robotic systems.