Bringing AI to the masses. Joined as engineer number 12. First growth engineer.

Working on:

• Core AI agent framework

• Growth products

• UI/UX

Built:

• Agent monitoring (agents that observe agents)

• Self editing agents

• Onboarding agent (convinces users to signup and complete paywall)

• Image and video generation

• The official Lindy chrome extension

• Promo code system

• Billing experiment infrastructure

• In-app copy customization infrastructure

Contributed to:

• Agent Builder (Agent that builds agents)

• Leading projects from planning to implementation

• Communicating with clients to determine their technical and business needs

• Creating, scoping, scheduling and assigning engineering and design tasks among peers using JIRA, Miro and Monday.com

• Performing deployments, maintenance and more for client instances

• Supporting revenue growth and upsell opportunities

• Joined at series A as engineer number 7

• Developed the web application for the next generation of artificial intelligence insurance software using Typescript (React) and CSS (Tailwind) from dashboards to insurance rating engines and more

• Developed the corresponding API using GraphQL (Apollo), Python (Django), Typescript (Nest.js) and Postgres SQL

• Constructed a distinct React UI / component library for use within all Federato applications meeting modern accessibility standards with use of Adobe Spectrum

• Developed core infrastructure application consisting of many complex graph traversal algorithms from scratch using React.js, Recoil and Flow.js

• Made use of virtualized tables and other advanced web development techniques

• Developed back-end services to complement web application using PHP / Hack

• Made unique architectural design proposals to facilitate the execution of industry best practices in complex and obscure algorithms, data structures and UI while maintaining accessibility standards

• Created an animated interactive 3D environment on React by using Three.js and GSAP to animate an FBX file via the WebGL engine

• Contributed to the open source Mephisto project: github.com/facebookresearch/mephisto, a service for Amazon MTurk helping thousands of users crowdsource artificial intelligence data

• Developed unique end to end testing framework from scratch using Javascript, Node.js, Jest and Puppeteer to test monolithic Python Flask apps using concepts of concurrency

• Developed command line interface using the Python Click framework

• Developed a fullstack monolithic web application using Flask and React published as a public react template named “cra-template-mephisto-review”

• Upgraded existing React hook published to NPM as “mephisto-review-hook”