Computer science student focused on backend systems, operations research, and applied optimization.

I am interested in software systems where decisions have constraints, costs, and measurable consequences. My current work connects backend engineering with optimization-heavy domains such as logistics, planning, and operational decision support.

Currently building Lift Nexus API — a Spring Boot backend MVP for warehouse dispatch optimization.

• Building backend systems with Java, Spring Boot, PostgreSQL, Docker, and CI/CD
• Exploring how optimization models can become usable software systems
• Practicing testing, documentation, architecture, and incremental delivery
• Connecting operations research ideas with real application boundaries

Spring Boot backend MVP for warehouse dispatch optimization.

The project explores how solver-based planning can be integrated into APIs, persistence, asynchronous dispatch jobs, tests, documentation, and CI-generated reports.

Backend

Optimization

Engineering

Data analysis

I use my personal website to document projects, technical reflections, and learning notes around backend systems and applied optimization.