Samuel – AWS, Python, React

It is a Python-centric hosting platform that enables developers to run Python web applications, scripts, consoles, scheduled tasks, and notebook-style workflows without managing the underlying infrastructure.

• Led reliability and observability improvements that increased PythonAnywhere's uptime from 99% to 99.9% while its user base grew by 50%.
• Designed and implemented support automations that reduced ticket volume by 30%, allowing the platform to grow without a proportional increase in operational work.
• Developed and operated the core Django platform, including its ORM, database migrations, Redis-backed caching, Nginx domain routing, and production Linux environment.
• Worked directly with the Python developer community to diagnose packaging, dependency, environment, deployment, and account-entitlement problems, and published PythonAnywhere packages.
• Took end-to-end ownership of the billing platform, from building and operating its Stripe integration to resolving production issues involving payments, fraud, chargebacks, and refunds.
• Helped rearchitect PythonAnywhere's public Python SDK and supported its beta testing with power users.
• Lead the observability work when working with Grafana dashboards, introduced Sentry into team processes, and became a trusted engineer for diagnosing difficult Unix/Linux production incidents.
• Shared autonomous responsibility for product delivery, reliability, support, and technical standards within a six-engineer team, while mentoring junior engineers and coordinating delivery with Anaconda's hosted-Jupyter teams.

It is a legal-technology platform that used workflow automation to manage property transactions and remove repetitive work from lawyers' daily tasks.

• Shared responsibility for product delivery and production infrastructure within a five-engineer startup team while the business grew from 250 property transactions in 2018 to 1,500 in 2021.
• Built and operated Python backend services using SQLAlchemy, PostgreSQL, and Amazon SQS-backed asynchronous processing.
• Led end-to-end delivery of commercially critical billing systems, including product-pricing logic and invoicing.
• Delivered software across customer workflows, sales tooling, internal banking, developer tooling, data, and analytics as business priorities evolved.
• Improved PostgreSQL search performance by designing and introducing a denormalised search-text field.
• Managed production infrastructure with Terraform and used Sentry to identify and resolve production failures.
• Built React interfaces and Cypress functional tests, contributing across backend, frontend, infrastructure, testing, and production operation.

A high-volume advertising data platform that ingested, processed, and analysed more than 100GB of event data per hour.

• Led development of a data pipeline processing more than 100GB per hour using Python, Apache Airflow, Kafka, AWS Hive, and Google BigQuery.
• Built and operated an autoscaling machine-learning model service on AWS using Python, EC2, ELB, Vowpal Wabbit, and test-driven development.
• Provided technical leadership on GDPR-related engineering changes across the wider development team.