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.
Kimi K3's Code Security Results Look Competitive — Until You Look at Precision
A benchmark review of Kimi K3 that looks past headline F1 scores at precision, recall, and performance on larger codebases.
Read pieceGrounded or Gamed? We Audited Our Own Cyber Benchmark
An audit of whether cyber-benchmark scores reflect grounded reasoning or shortcuts, with a focus on stability and counterfactual behavior.
Read pieceEvaluating GPT-5.6 Luna, Terra, and Sol Against GPT-5.5 for AI Code Security
A model comparison through the lens of AI-powered vulnerability detection, including precision, recall, F1, and cost per true positive.
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.