Sensing systems · model-serving evaluation · scientific Python

I build ML and data systems for sensors, latency constraints, and messy measurements.

My work spans quantum-sensing pipelines, calibration tools, scientific Python, and model-serving benchmarks. I like problems where the hard part is getting the measurement right.

Seeking research-engineering roles on teams building sensing, scientific ML, robotics, or low-latency model-serving systems.

7,520streamed vLLM requests
666 msp95 TTFT drop in one vLLM sweep
82.7%simulated wafer proxy yield
Selected work

Three examples of systems work.

What was hard, what I built, what I measured, and what the result does not prove.

Experience

Software for sensing data, calibration, and model evaluation.

Previously at Dirac Labs, I worked on quantum sensing systems: signal processing, calibration, geophysical analysis, field and aerial data workflows, and real-time inference pipelines for magnetic navigation and detection.

I build software around noisy measurements: sensing pipelines, calibration workflows, model evaluation, and hardware-adjacent data systems.

Today I am focused on reliable model-serving evaluation and intelligent systems that have to work with sensors, calibration drift, field data, or latency constraints.

Core
AI systems + signal processing
Past work
Quantum sensing at Dirac Labs
Strength
Turning experiments into working tools
Best fit
Noisy data, hardware, latency, constraints
magnetic sensing pipelinesvLLM serving sweepsphotonic link simulationcalibration workflowsfield-data toolingscientific Python
Experiments

Other current work.

Smaller or earlier-stage projects, separated from the main case studies.

Current focus

Questions I am actively working through.

If you are thinking about one of these, I would probably enjoy comparing notes.

Contact

Interested in sensing systems, model-serving evaluation, or research engineering?

Reach out if you are working on sensing data, model-serving evaluation, calibration-heavy ML, or scientific software that needs careful measurement.