Kasey McFadden

Full Stack Software Engineer

kaseym.dev
New York, NYkaseysmcfadden@gmail.com
LinkedIn

ABOUT

Full Stack Software Engineer with experience delivering scalable, high-impact features at Microsoft and across multiple tech stacks. Passionate about performance, clean code, and continuous learning.

WORK EXPERIENCE

Microsoft

Aug. 2022 - Present

Software Engineer

Developed a distributed CMS, powering content workflow for end-user Help, Support, and Learning Experiences across Microsoft's product suite (3b+ annual impressions, 500m+ monthly requests).
  • –Reduced sitewide permissions retrieval time by 76% by refining C# concurrency techniques.
  • –Led .NET learning and upgrade initiative, modernizing 20+ scalable microservices.
  • –Streamlined content onboarding for Copilot Labs, accelerating adoption of Microsoft's generative AI.
  • –Developed a k6 performance testing suite, identifying an 80% improvement in federated gateway durations.
  • –Delivered full stack Product-Level Permissions feature ahead of deadline, architecting new site performance graphs by logging and metering through Geneva (Microsoft's monitoring platform) to target improvements for users.
  • –Led 5+ high-priority privacy and security efforts towards safe service connection and secrets standards.
  • –Created LLM-powered Agile templates, accelerating team delivery.
  • –Authored and presented an architecture doc on a new system design for Authoring Schemas after identifying inefficiencies and failures in existing processes.
  • –Onboarded and mentored 2 early-career engineers.

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

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.

Venus Technology Ventures
Acquired 2021

Summer 2019

Software Engineer Intern

Integrated Stanford CoreNLP pipeline into a Go-based fintech voice platform, enabling natural language pattern recognition and custom user vocabulary, contributing to a patent application. Led a refactoring effort, integrating 10+ APIs, migrating the UI to Sencha, and adding authentication and voice AI capabilities.

EDUCATION

Princeton University

Graduated May 2022
Bachelor of Engineering in Computer Science

SKILLS

languages: TypeScript/JavaScript, C#, Python, Go, Java, SQL, GraphQL
frameworks: React, Redux, .NET, Apollo, Next.js, Node.js, Express.js, Jest
technologies: OpenAI, Copilot, Azure, AWS, Kubernetes, Docker, D2, CI/CD, Distributed Systems

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.

Hackathon
Lead Developer
Python
Go
JavaScript
D3.js

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