I am a full-stack software engineer based in San Francisco with an education in Engineering and Computer Science from UC Berkeley.
Across my career, I consistently dive deep to understand and improve products through software.
I love a good coffee and I miss riding my bike in my hometown of Den Haag, Holland. I still bike around SF, although admittedly there are a lot more hills here.

๐ง [email protected]
๐ GitHub
๐ท @lorio__
๐ณ linktree
Nicholas Lorio -- Resume 9625.pdf
๐ป Work experience
๐ Technology
๐ง Projects
๐ Education
โ Interests
Notion - San Francisco (November 2025 - Present)
Work on backend platform and reliability efforts for monetization and billing systems, focusing on making critical revenue workflows correct, observable, and resilient at scale. The work typically spans data architecture, production hardening, and operational readiness, translating ambiguous incidents and constraints into durable system improvements.
In my first six months, Iโve led major billing-data architecture and migration initiatives, strengthened API reliability through SLO-driven engineering and observability, and drove cross-functional execution with Finance, Support, and external partners. The common thread is reducing systemic risk and recurring toil by shipping scalable fixes, improving monitoring and rollout controls, and aligning stakeholders around clear technical decisions.
Tech lead for Usage Allowances & Usage Based Pricing; Setting architecture and direction for Notionโs future pricing and packaging.
Flexport - San Francisco (June 2024 - November 2025)
Designed and implemented Charge State Service to resolve deeply fragmented cost logic distributed across 4 commerce teams, enabling centralized management, evaluation, and presentation layers on prices. Simplified downstream systems by handling orchestration of calls and introducing a traceable, versioned source of truth.
Supports 10M charge state queries weekly for 200K+ real and prospective shipments, with immutable snapshots providing end-to-end traceability and historical pricing integrity at scale.
Flexport - San Francisco (April 2022 - June 2024)
Spark, Scala, Python, Kotlin, AWS - San Francisco (June 2023 - Present)
Launched Flexportโs crucial spot quote pricing engine, where I coordinated rollout across teams, profiled, and scaled the service through load testing to handle 200 rps. Utilized Terraform CI/CD and added logging/monitors to ensure high availability of the system's complex calculations and strategies.