Internship at Infomaze Technologies

During Summer 2024, I contributed two core projects at Infomaze Technologies—a cost-reduction NLP pipeline for a printing client and a scalable backend API for a service-catalog web app—deepening my skills in NLP, linear programming, and full-stack development.

NLP Pipeline to Reduce Service Costs

• Problem framing & extraction: Used spaCy to parse print-job descriptions (media type, color, volume) and extract cost-driving variables.
• Optimization modeling: Formulated a linear programming problem in PuLP to minimize total service costs and identify efficiency gains.
• Automation & results: Integrated extraction and solver into a single pipeline, delivering actionable, data-driven cost-saving recommendations.

Backend for Web App

• API design: Architected RESTful endpoints with Express.js for service reservation, supporting full CRUD operations.
• Data management: Modeled and stored user and service data in MongoDB, ensuring flexible schema evolution.
• Performance & security: Implemented express-rate-limit to throttle requests and safeguard against abuse, and structured code for high availability and future scaling.

Skills

mongodb · express.js · pulp · spacy · python · typescript · nlp · linear programming