Ayaz Mohiuddin

Computer Science B.S. candidate with hands-on experience in designing and automating software systems. Proficient in translating operational challenges into implementation-ready solutions, driving reliability through rigorous testing. Familiar with Python, SQL, and AI-assisted workflows, eager to contribute to workflow automation and operational efficiency in enterprise IT.

• Custom UNIX-Style Shell with Job Control Automation, Fall 2024, Built a UNIX-style shell in C++ supporting pipes, I/O redirection, batch mode, background jobs, and signal handling — automating multi-step command workflows that would otherwise require manual execution., Eliminated repeated manual steps by implementing batch processing mode, enabling scripted execution of multi-command sequences — directly analogous to Level-0 self-service automation goals., Improved software reliability through systematic edge-case testing and safe failure handling, reducing defect rate across 30+ test scenarios.
• Database Systems — Reporting & Backend Automation, Spring 2025, Designed normalized relational schemas and implemented SQL views and stored functions to automate reporting logic, reducing manual query duplication across multiple application features., Applied process decomposition to map data workflows end-to-end, identifying redundant steps and consolidating them into reusable backend structures — improving maintainability and operational consistency., Strengthened foundation in data-driven decision-making, directly applicable to enterprise analytics and operational reporting systems.
• Streaming Platform — Requirements Engineering & Workflow Modeling, Spring 2025, Authored a software requirements specification (SRS) and use-case model for a streaming platform, mapping user workflows into structured functional and non-functional requirements — mirroring value-stream analysis used in LEAN process improvement., Decomposed a multi-feature product into defined, implementation-ready workflows and identified automation opportunities within the user journey (e.g., auto-queuing, recommendation triggers)., Produced documentation structured for both technical and non-technical stakeholders, demonstrating ability to bridge engineering and business audiences.