New York, New York, United States
• Collaborated on developing a LLM-based (GPT-4o) tool for recruiters to filter job seekers across different categories using natural language
• Implemented an automated workflow using a LLM (GPT-3.5 Turbo) and text embeddings to ensure data consistency between job seeker profiles and their resumes, resulting in a $200,000 reduction in annual operating costs and increasing gross margins by 2%
• Led the front-end (Vue.js/TypeScript) overhaul of the job seeker experience, resulting in a 2x increase in applications submitted per job seeker
• Led the front-end and back-end (Python/Flask) redesign of the sign-up experience for new job seekers joining the platform
• Advocated for design QA to be part of the feature development cycle, with a focus on the user experience across desktop, tablet, and mobile
• Mentored other engineers on designing maintainable and testable (Pytest, Jest) solutions for features across the tech stack
• Managed projects from solution proposal to production release, including sprint planning and execution