-Designed and prototyped a web platform for competency extraction, validation, and matching using AI and quantum-inspired optimization.
-Along my team, I designed the system architecture using React, Node.js, MongoDB, and AI APIs, ensuring scalability for implementation.
-Implemented an AI-driven skill inference pipeline for analyzing user-submitted work (text, images, code) to generate structured competency profiles.
-Built a verification framework allowing mentors and employers to authenticate user skills through evidence-based evaluations.
-Developed a matching engine combining classical recommendation models with quantum-inspired annealing techniques to optimize multi-variable matching at scale.
-Created UX flows for micro-project assignment, skill scoring, and progress dashboards, focusing on usability for early-career users, including the “Quantum Match” module for complex matching scenarios.