Software Engineer Current
Semgrep · AI Engineering
Software engineer · Applied AI researcher · Dallas–Fort Worth
I’m Brenden. I build with AI.
I’m a software engineer at Semgrep, working across developer tooling, AI/ML benchmarking, and applied AI while pursuing an M.S. in Computer Science.
Currently exploringExplainable AI monitoring, multi-agent security detection systems, and agent + tool research.
01 / Context
A practical builder with a research habit.
I work at the seam between software engineering and applied research.
My background spans data infrastructure, backend engineering, and AI-oriented systems. I care about trustworthy, dependable AI systems built with well-crafted software that make a team move with more confidence.
Outside of product work, my graduate computer science studies have led me toward explainable AI, explanation drift, and ways to monitor model behavior over time.
- Backend systems and developer tooling
- Applied AI and model explainability
- Cloud infrastructure and GitOps workflows
02 / Experience
A timeline of compounding systems work.
A high-level view of the roles and study that shaped how I build.
BI Developer III
Mouser Electronics · BI Software/ML Solutions
BI Developer II
Mouser Electronics · BI Software/ML Solutions
BI Developer I
Mouser Electronics · BI Software/ML Solutions
Marketing Analyst
Mouser Electronics · Global Marketing
Education
M.S. Computer ScienceEast Texas A&M University
Started Jan 2025
B.S. Marketing AnalyticsOklahoma State University
May 2021
03 / Selected work
Research ideas, made runnable.
A few public projects across infrastructure, explainability, and reproducible analysis.
Public repository
Homelab
A minimal homelab for practicing Kubernetes and GitOps with K3d and Argo CD in Docker.
Public repository
Explanation Drift Experiments
Experiment and analysis package for explanation-drift research with multi-seed statistical analysis and reproducible results.
Public repository
Explanation Drift Library
Core library for explanation-drift detection and tiered alerting, with production-facing metrics and stateful thresholds.
04 / Git activity
The public trail of the work.
A living snapshot of what I’m building and learning in the open.
Public activity
Shipping, learning, repeating.
The contribution graph is a small proxy for the work behind the projects, experiments, and writing.
Open GitHub profilePublic GitHub contributions · updated by GitHub
05 / Writings
Research, translated into words.
Academic papers alongside public writing from my work at Semgrep.
Semgrep Multimodal Goes Beyond Authentication: What we learned from Comparing it with Mythos
A comparison of Semgrep Multimodal and Mythos on 275 manually reviewed IDOR labels, showing how combining program analysis with AI reasoning improves coverage of authorization bugs.
Read pieceWe benchmarked A LOT of models, here’s how they compare to Mythos
A benchmark of Mythos against 22 model and harness configurations on 275 human-reviewed IDOR labels, with a closer look at precision, recall, and the effect of security harnesses.
Read pieceGLM 5.3 Delivers Opus 4.8-Level Cybersecurity Results at a Fraction of the Cost
An evaluation of GLM 5.3's cybersecurity performance against Claude Opus 4.8, highlighting frontier-level results at a much lower cost.
Read piece06 / Toolbox
The tools change. The fundamentals stay.
A grouped view of the languages, frameworks, data systems, and infrastructure I work with.
Languages
- Python
- Go
- JavaScript
- SQL
- C#
- C/C++
Backend & APIs
- FastAPI
- Flask
- .NET Core
- REST APIs
- Airflow
Data & Databases
- Snowflake
- SQL Server
- PostgreSQL
- SQLite
- MongoDB
AI & Machine Learning
- Explainable AI
- SHAP
- LIME
- Drift detection
- LLM systems
Cloud & Infrastructure
- Docker
- Kubernetes
- K3d
- Argo CD
- Azure
- GCP
Frontend & Developer Tools
- React.js
- Vue.js
- WSL
- VS Code
- CI/CD
Let’s make something clearer.
Interested in collaborating, learning, or talking systems design? Email me or find me on GitHub and LinkedIn.