bergeron339@gmail.com · Holton, Kansas · drbee.me
Profile
Senior software and systems engineer focused on applied AI, with a Ph.D. in Entomology and experience teaching science and programming. Work spans agent orchestration, evaluation, data pipelines and cloud-backed applications.
Current engineering role
SpaceXAI — Agent + Tools Team Lead, 2025–present. Professional project details are confidential. The reference systems and experiments on this site are separate public work.
Engineering practice
Agent loops and tool orchestration; planner/worker/judge workflows; quality gates and evaluation rubrics; acquisition, filtering and deduplication; Python APIs, asynchronous services and streamed browser interfaces; cloud deployment and operations.
Confidential professional projects are not described here. The public experiments below demonstrate selected mechanisms and their limitations.
Selected public systems & experiments
- Spec Review — PDF revision evidence, durable jobs, optional model interpretation and auditable review. New reference implementation.
- Training-Run Automation — bounded planning, NumPy classification and held-out evaluation.
- Synthetic Data Factory — rubric grading and explicit duplicate/filter rules.
- Multi-Agent Swarm — bounded parallel workers and streamed orchestration.
- Auto-Rubric Evaluator — criteria, weights and model comparisons.
- Multimodal Cross-Checker — image/claim consistency and visual reasoning.
Research & education
Ph.D., Entomology — Washington State University, 2018–2022. Research in ecology, integrated pest management and molecular methods.
B.S., Biology; Chemistry minor — Washburn University, 2014–2018.
Peer-reviewed work includes research on predatory-mite selectivity and biological control. Research and publications.
Teaching
Royal Valley High School, 2023–2025: science and hands-on Research in Agriculture.
Heritage University, 2021–2024: adjunct teaching in biology and programming.
Zambian Institute of Agriculture, 2022–2024: visiting teaching in programming and agroecology.
Technical areas
Python, R, SQL, JavaScript and Bash; FastAPI, asynchronous workflows and SSE; data-quality systems, evaluation design and multimodal model integration; GCP, containers, nginx and systemd.