Nicholas Morrow
Résumé

Nicholas Morrow

Senior Software Engineer at Zenlytic

I build full-stack product software — service architecture and data modeling as much as the interfaces on top of them. Most recently, I owned Zenlytic's LLM-powered chat feature end-to-end, on a seven-person team.

Open to senior full-stack roles · Remote

Work

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Senior Software Engineer Zenlytic

  • Owned Zenlytic's LLM-powered chat feature end-to-end (Python/Flask, React/TypeScript) — query generation, prompt/context assembly, evaluation, and the chat UI itself — as part of a 7-person team.
  • Redesigned the chat response pipeline around streaming to cut perceived latency, and shipped end-to-end visibility into each answer's underlying data sources — a major driver of user trust in the product.
  • Served as on-call responder for production incidents, using session-replay tooling (LogRocket) to diagnose real user failures and shape observability priorities through direct customer conversations.
  • Partnered directly with customers on adoption issues and helped define company-wide coding standards for testing, accessibility, and static analysis.
  • React.js
  • TypeScript
  • Python
  • Flask
  • Design Systems
  • Data Visualization
  • Chakra UI
  • Vite

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Senior Software Engineer Tempus AI

  • Shipped and maintained Tempus AI's React and TypeScript UI component library — 50+ design-system-aligned components consumed by 20 engineering teams.
  • Built and owned the Laboratory Inventory Management Service (React, TypeScript, Node.js; team of 8), modeling lab workflows for converting human tissue into sequenced DNA — used daily by roughly 40 lab technicians.
  • Contributed to the architecture that let lab processes be modeled across multiple labs at different locations, helping increase lab throughput by roughly 30%.
  • React.js
  • TypeScript
  • Node.js
  • Nest.js

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Software Engineer Fora Financial

  • Owned the event-processing queue behind Fora Financial's .NET platform for credit-advance-request tracking and deal-parameter calculation (team of 7) — debugging backlogs, resolving failures, and handling downtime to keep processing unblocked.
  • Developed a React and TypeScript frontend that cut completion time on common user flows by about 20%, reducing server round-trips.
  • Built and deployed Azure DevOps pipelines supporting feature-branch testing, continuous integration, and automated integration testing — cutting defects reaching master by 15%.
  • Replaced a manual, error-prone database-sync process with automated schema migrations (dbUp), and tuned SQL Server indexing across core tables.
  • .NET
  • React.js
  • TypeScript
  • Redux
  • Azure DevOps
  • SQL Server

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Software Quality Engineer Mastercard

  • Delivered a React and .NET transaction-log data-visualization application (team of 8) to support data-driven decisions, with an emphasis on automated testing.
  • Automated instance setup and data-model configuration for the Mastercard analytics platform (team of 7), cutting setup time by about 70%, and added a database-settings tool for non-engineering product changes.
  • Built automated testing infrastructure (C# Selenium, .NET API integration in Jenkins CI) and developed shapefile-generation and dataset-mapping tooling.
  • .NET
  • React.js
  • TypeScript

Projects

Component Library

React UI primitives that encode design-system conventions while preserving flexibility for deliberate custom implementations.

The hard part Finding the line between a component that enforces the system and one that blocks legitimate custom work — every escape hatch added is a convention weakened.

  • React.js
  • TypeScript
  • HTML & CSS
Source Live demo

Places To Live

Compare locations using population, employment, and related socioeconomic indicators.

The hard part Normalizing socioeconomic indicators that are published on different scales and cadences into a comparison a reader can act on without a stats background.

  • Node.js
  • React.js
  • TypeScript
Source

Ranked Choice

Web-based polling and tally simulation for ranked-choice electoral formats.

The hard part Making an elimination-round tally legible in the UI — the result is only trustworthy if a voter can watch how it was reached.

  • Node.js
  • React.js
  • TypeScript
  • Postgres
Source
More on GitHub

Contact

If you are hiring, or want to talk through anything in the work above, I am glad to hear from you.

Email njmorrow95@gmail.com
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