Kasey McFadden

Full Stack Software Engineer

kaseym.com
New York, NYkaseym@alumni.princeton.edu
LinkedIn

ABOUT

Founding engineer at a Sequoia-backed legal tech startup, building full-stack AI infrastructure from the ground up. Previously spent 3 years at Microsoft developing distributed content systems at scale. Focused on shipping high-quality software, fast.

WORK EXPERIENCE

Sandstone logo

Sandstone

Aug. 2025 - Present

Founding Engineer

Building the intelligence layer for in-house legal teams. Full-stack ownership across product, integrations, and developer tooling. Backed by Sequoia.
Microsoft logo

Microsoft

Aug. 2022 - Jul. 2025

Software Engineer

Drove development of Microsoft's distributed CMS, enabling hundreds of authors to publish content at scale (500M+ monthly requests, 3B+ annual impressions) and supporting adoption across flagship products.
  • –Maintained and expanded a suite of 20+ scalable microservices.
  • –Cut sitewide permissions retrieval time by 76% by refining C# concurrency techniques.
  • –Accelerated Copilot Labs (Microsoft's GenAI) adoption by streamlining content onboarding workflows.
  • –Identified and drove an 80% reduction in federated gateway durations by developing a Grafana k6 performance testing suite.
  • –Architected full-stack permissions features, including new performance dashboards via Microsoft's internal monitoring platform to target user improvements.
  • –Led 5+ high-priority privacy and security initiatives, ensuring safe service connections and secrets compliance.
  • –Built LLM-powered Agile templates, increasing team velocity and delivery consistency.
  • –Onboarded and mentored 2 early-career engineers.
Capital One logo

Capital One

Summer 2021

Software Engineer Intern

Developed a React web application with Express.js to replace static sites for 30k+ users, integrating Tableau and QuickSight for streamlined business analytics, reducing manual reporting time by 40%. Earned Capital One's Certified Secure Software Engineer (CSSE) and CSSE Pro certifications for secure coding practices.
Merck logo

Merck

Summer 2020

Software Engineer Intern

Developed a Python-based computer vision system using FRCNN and OpenCV to automate pill disintegration analysis, reducing manual analysis time by 60%. Designed interactive D3.js visualization maps, leveraging Merck's Blockchain API and Go backend to monitor pharmaceutical product distribution and combat fraud.

EDUCATION

Princeton University logo

Princeton University

Graduated May 2022
Bachelor of Engineering in Computer Science

SKILLS

technologies: OpenAI, Anthropic, RAG, Kubernetes, Docker, AWS, GCP, Azure, PostgreSQL, PostHog, CI/CD
frameworks: React, Next.js, LangChain, Vercel AI SDK, Temporal, Node.js, FastAPI, Tailwind, Playwright
languages: TypeScript/JavaScript, Python, C#, Go, SQL, GraphQL, Java

PROJECTS

TigerStudy

Group finder built for Princeton's McGraw Center. Still in active use by students.

Python
JavaScript

MerckMap

Map-based data model using Merck's Blockchain API. Won 1st Place, Merck Challenge @ HackRU.

Python
Go
JavaScript
D3.js

Mountain View

Interactive 3D landscape with dynamic lighting, weather systems, and procedural terrain.

Three.js
WebGL
JavaScript

NFThesis

Built and deployed a smart contract allowing students to mint their senior theses as NFTs.

Solidity
JavaScript
Ethers.js
Hardhat
Alchemy

Adaptive Replacement Cache

A cache optimized to favor either recency or frequency, improving hit ratio.

Go

Edgeways

Twitter-like platform incorporating tailored foreign language quizzes within your feed.

Python
JavaScript