Levansh Bhan

Engineered end-to-end data pipelines using Node.js to automate the collection of sales and stock data into a central PostgreSQL database, providing the backbone for client-facing analytics. Developed interactive inventory management dashboards with React, enabling 8 SMB clients to access real-time KPIs that led to a 15% reduction in stockouts.

Converted AI-generated prototypes into production React/TypeScript applications for enterprise clients. Built Python evaluation tools to assess AI-generated code quality and automate review processes.

Developed cross‑platform booking system using React + ASP.NET, serving 10,000+ monthly active users • Designed secure RESTful APIs with JWT authentication and .NET Identity framework for session management • Achieved WCAG 2.1 AA compliance by implementing ARIA roles, semantic HTML, and keyboard navigation • Delivered MVP in 10 weeks by translating complex business requirements into scalable technical solutions

Focus Areas: Machine Learning, Deep Learning, Neural Networks, Computer Vision, Statistical Learning • Research Interests: Applied AI, Data Mining, Algorithmic Optimization • Relevant Coursework: Advanced Algorithms, Distributed Systems, Software Engineering