Mirza Usman Baig

Associate AI Engineer with experience developing AI-powered applications, scalable backend systems, and data-driven solutions Experienced in Python, recommendation systems, RAG applications, REST API development, MERN Stack, cloud deployment, and data engineering workflows. Currently leading the development of UniVana, an AI-powered university and scholarship recommendation platform featuring intelligent recommendation algorithms, educational data pipelines, and a RAG-based chatbot for context-aware student assistance. Passionate about applying Artificial Intelligence and Machine Learning to solve real-world problems and build impactful products.

Software Engineer at Shipment Solutions LLC (2025-01 – Present)

• Developed and deployed a production automotive marketplace serving international users using React, Node.js, Express, and MongoDB.
• Designed scalable backend APIs supporting inventory management, search functionality, customer inquiries, and administrative workflows.
• Implemented advanced filtering, data management, and business automation features to improve platform usability and operational efficiency.
• Managed cloud deployment, performance optimization, troubleshooting, and platform maintenance.
• Collaborated directly with stakeholders to deliver scalable, production-ready software solutions aligned with business requirements.

Software Engineer Intern at HevaVibes Solution (2024-11 – 2025-01)

• Developed backend APIs for a salon management system using.NET Core and MongoDB.
• Built and tested RESTful APIs; integrated Swagger for documentation.
• Collaborated in a 3-member team to deliver a secure, scalable solution.

BS in Software Engineering – Shaheed Zulfikar Ali Bhutto Institute of Science & Technology (SZABIST) (2022-09 – 2026-06)