Numair Siddique

Created an AI-driven matchmaking system that aligns influencer aesthetics and content niches with brand identities using TF-IDF text similarity and computer vision techniques (color histograms). Integrated a layered, service-oriented design and added real-time collaboration support through Socket.io, alongside analytics dashboards to track engagement and campaign performance. Containerized services with Docker for consistent deployment and smooth development workflows.

Developed an AI-powered influencer–brand matchmaking platform using MERN (MongoDB, Express, React, Node.js) with a Python FastAPI AI microservice. Implemented NLP similarity using TF-IDF and sentiment analysis, added computer-vision features using color histograms, and integrated Socket.io for live brand–influencer communication. Containerized services with Docker and used modular architecture to keep analytical tasks independently scalable.

Architected a secure Node.js backend for a restaurant management ecosystem, implementing granular RBAC and a scalable RESTful API supported by a high-availability MongoDB schema. Designed endpoints for role-protected access patterns and built a foundation for expansion toward broader enterprise workflows. Applied production-oriented practices such as clean API design and database modeling for maintainability.