Biomedical Signal Systems
ECG, respiration, magnetic and electrical sensing workflows with attention to acquisition quality, analog behavior, filtering, and reproducible analysis.
Independent hardware and software engineering
From circuit bring-up to deployable algorithms.
A focused engineering lab building complete systems across embedded hardware, FPGA logic, signal acquisition, biomedical sensing, algorithm development, automation, and production-ready software.
One engineer, full system ownership.
The lab is built around direct responsibility for the full technical chain: requirements, schematic review, embedded firmware, FPGA logic, data collection, signal processing, model development, test automation, and field debugging.
FPGA And Embedded Logic
Timing-aware RTL, data paths, control logic, test benches, board-level integration, and practical bring-up across real hardware constraints.
Algorithm Engineering
From raw data organization to Python/MATLAB analysis, feature extraction, model evaluation, and tools that make experiments repeatable.
Capabilities
Work is organized around practical engineering loops: measure, explain, improve, and verify. The goal is not a narrow prototype, but a system that can be understood end to end.
Hardware
Analog, mixed-signal, and board bring-up
Measurement planning, oscilloscope review, ADC/DAC behavior, noise and grounding investigation, signal integrity checks, and hardware debug documentation.
Logic
FPGA datapaths and timing-friendly RTL
Clear register structure, simulation-first workflows, interface control, deterministic state machines, and hardware-observable debug points.
Software
Tools, automation, and analysis pipelines
Windows/Linux automation, test scripts, structured data processing, visualization, reproducible reports, and maintainable engineering utilities.
Systems
End-to-end technical integration
Bridging sensors, firmware, FPGA logic, desktop tooling, cloud or VPS infrastructure, remote access, and documentation into one coherent workflow.
Engineering Stack
A compact toolchain for moving between lab bench, source code, data analysis, and deployment without losing traceability.
FPGA RTL
Embedded C
Python Analysis
MATLAB Workflows
Signal Processing
Test Automation
Windows/Linux
Remote Lab Access
Technical collaboration
Built for focused engineering work.
For hardware prototypes, signal acquisition systems, embedded logic, algorithm studies, or full-stack engineering experiments, start with a concrete technical question and a measurable target.