I ship production developer tooling — IDE plugins, LLM-integrated pipelines, graph-grounded retrieval systems — and study how AI reshapes software engineering at scale. 9+ years of prior industry experience; currently researching AI-assisted code comprehension and supply chain security.
Software engineer and PhD student in Computer Science at Idaho State University (GPA: 4.0) who ships production tooling end-to-end: designed and released Comprendia, a 5-layer Eclipse IDE plugin integrating three LLM backends, and built Python/graph-database pipelines processing 14M+ records. Before academia, I spent 9+ years leading engineering and infrastructure for a 500+ user government network at the National Assembly of Zambia. My research on AI-assisted software engineering is published at top venues including ICSME 2026, MSR 2026, MSR 2025, MSR 2024, and ACM SAC 2024. I bring both rigorous research depth and real production experience.
Designed and shipped a 5-layer IDE plugin combining a Cytoscape.js dependency-graph UI, a JDT AST analysis engine, OSV.dev/JGit vulnerability integration, and an AiGateway spanning three production LLM backends (Claude, OpenAI, Ollama). Introduces Graph-Aware Callee Pruning (GACP), an algorithm that grounds LLM prompts in a live dependency graph instead of embedding similarity — producing deterministic, auditable output reproducible across LLM families via an O(V+E) reachability filter. Benchmarked across 6 code fixtures × 4 prompt modes × 3 LLM families. Tool demo accepted at ICSME 2026.
Built a 5-script scraping/HTML-parsing pipeline against the live Chromium issue tracker, working around its 1,000-record API cap to assemble a complete research dataset. Powered a study of 5,575 security and 4,605 performance bug reports, published in "On the Assessment of Security and Performance Bugs in Chromium Open-Source Project."
AiGateway spanning three production LLM backends — Claude, OpenAI, Ollama); benchmarked across 6 code fixtures × 4 prompt modes × 3 LLM families and released publicly with a Zenodo artifact and demo video.6 peer-reviewed publications at top software-engineering venues. Also presented at ITNG 2025 (Springer) and i-ETC 2024/2026; full list with citation counts on Google Scholar →
Whether you're a collaborator, fellow researcher, or just want to connect — feel free to reach out.