LAB AUTOMATION ENGINEERING

Custom Software for Complex Experimental Systems

I design and build automation software for demanding laboratory and experimental setups, replacing fragile LabVIEW workflows with maintainable, production-grade systems.

Remote + On-Site Commissioning

End-to-end control of instruments, actuators, and sensors. Custom UIs for operators, engineers, and research teams. Reliable data logging, traceability, and reproducible runs.

WHAT I DELIVER

Software that turns experimental complexity into reliable execution.

LabVIEW Replacement

Migrate legacy LabVIEW blocks into clean Python-based control software with clearer architecture and easier long-term support.

Lower maintenance overhead

Instrument Integration

Connect oscilloscopes, DAQs, motion systems, power supplies, and custom hardware through unified device-control layers.

One control surface for your full setup

Experiment Orchestration

Encode multi-step experimental procedures into repeatable, auditable execution pipelines with safety checks.

Repeatability across teams and shifts

Data and Visualization

Build dashboards and analysis-ready data pipelines so teams can monitor outcomes in real time and move faster.

Actionable data, faster decisions

SHOWCASED WORK

Representative project structures and outcomes.

High-Temperature Material Test Bench

  • ChallengeMultiple independent instruments and manual timing caused drift between test cycles.
  • SolutionBuilt a unified sequencer with hardware synchronization and automated run validation.
  • ResultRepeatable cycles with minimal operator intervention.

Sensor Calibration Lab Automation

  • ChallengeCalibration involved repetitive manual steps and isolated data files across systems.
  • SolutionDelivered centralized control software with scriptable calibration protocols and structured logging.
  • ResultFaster throughput and cleaner QA documentation.

Power Electronics Experiment Platform

  • ChallengeA legacy LabVIEW stack was hard to modify and brittle under new test requirements.
  • SolutionReplaced the stack with modular Python services and a custom operator dashboard.
  • ResultRapid feature iteration and stable long-run operation.

INTERACTIVE DEMOS

Live GUI examples for experimental control workflows.

Lab Blood Analysis Dashboard preview

Lab Blood Analysis Dashboard

Clinical-style control interface with live metrics, chart updates, and run logging.

Neutron Diffusion GUI preview

Neutron Diffusion GUI

Reactor telemetry and motion-control simulation with dual live trend charts.

Helios Command Center preview

Helios Command Center

Multi-panel operations dashboard with synthetic thermal and systems telemetry.

ENGAGEMENT MODEL

From instrument chaos to a stable, maintainable automation platform.

  1. 01

    Map the System

    Review the full setup: instruments, constraints, data targets, and operator workflows.

  2. 02

    Engineer the Control Layer

    Implement robust device interfaces, orchestration logic, and safety interlocks.

  3. 03

    Build the Operator Experience

    Deliver a focused UI that makes complex procedures simple and repeatable.

  4. 04

    Deploy and Handover

    Commission on real hardware, validate against requirements, and document for long-term use.

NEXT STEP

If your lab setup is held back by manual procedures or aging LabVIEW code, I can re-engineer it.

Send your current workflow, instrument list, and constraints. You will get a practical automation roadmap and implementation plan.