Built a real-time network data processor in Rust handling 200+ updates/sec with parallel processing, designed for easy integration of new data sources.

Designed and implemented multiple features for tracking data over time including a feature to estimate when customers need to order new equipment to prevent running out of capacity in their networks.

Designed data standardization layer to decouple analytic features from source systems, reducing feature development time.

Sole owner of architecture, testing, and containerized deployment (Docker) for core system components within an Agile sprint cycle.

Engineered AI agents with codebase-aware context to automate boilerplate generation and used these agents to build a benchmarking suite for tracking performance regressions across releases.

Independently proposed and developed a method for storing historical inventory management data; presented to the Head of Software and now being adopted as a product feature (patent pending).

Maintained a legacy optical network management system (C/C++), resolving defects spanning a custom C-based web framework, raw HTML/CSS/JS frontend modules, and dual databases (c-tree, PostgreSQL).

Authored training materials (LaTeX) for new engineers, covering system architecture, debugging workflows, and company's Unix/Linux/HP-UX tools. Materials were adopted as the standard onboarding resource.

Fixed 40+ critical API defects under tight deadlines, solving customer-found issues and enabling a network optimization tool that saved customers \$2M+/year.

Created Git-like wrapper for internal version control system to speed up workflow and improve new employee experience.