ENGINEERING
Software, systems, data, and hardware.
I work across the boundaries between software and physical systems. My strongest experience is in Python, Linux, C, diagnostics, data benchmarking, observability, and multidisciplinary system integration.
SOFTWARE AND SYSTEMS
Core engineering
- Python, Java, C, and C++
- Linux and kernel programming
- PCIe and FPGA diagnostics
- Flask and FastAPI services
- Git, Jenkins, Docker, Kubernetes, AWS EC2 and S3, and Debian packaging
DATA INFRASTRUCTURE
Benchmarking and observability
- Presto, Spark, ClickHouse, and Elasticsearch
- Grafana and Prometheus
- MySQL and InfluxDB
- Large dataset benchmarking
- Quantitative data pipelines
SEMICONDUCTORS
Hardware-facing systems work
- SoC-based products
- Silicon validation and EDA
- Metrology and optical imaging
- Motion and image processing
- System integration across optics, sensors, mechanics, and software
APPLIED AI
Models and evaluation
- scikit-learn and OpenCV
- TensorFlow Lite models with OpenCV for image and motion detection
- LLM evaluation frameworks
- Multi-turn safety benchmarks
- Prompt and guardrail analysis
- Prediction-market intelligence