Hardware engineer focused on experimental validation, embedded systems, optical sensing, and energy harvesting R&D, with strong emphasis on:
- measurement-driven debugging
- hardware characterization
- system-level reliability
- sensor system validation
- experimental prototyping
This repository documents selected hardware engineering projects covering validation engineering, sensing systems, experimental prototyping, and embedded telemetry systems.
The projects demonstrate how I approach real engineering problems — designing controlled experiments, collecting measurements, isolating root causes, and iterating hardware and firmware together.
Some projects are documented at the system architecture and validation methodology level due to NDAs.
Quick navigation to key work in this portfolio:
🔬 Laser Sensor Validation
Laser Triangulation Sensor Validation
⚡ Vibration Energy Harvesting Experiments
Energy Harvesting Prototyping
📊 Experimental Validation Field Notes
2026-03-05 Vibration Harvester Validation
🛠 Hardware Debug Case Studies
Hardware Debug Case Studies
Experimental validation of a laser triangulation optical sensing system used for displacement measurement.
The work includes:
- optical alignment and calibration
- sensor accuracy and repeatability characterization
- signal linearity analysis
- noise characterization
- calibration curve generation
- experimental validation setup design
Project documentation:
Laser Triangulation Sensor Validation
Presentation overview:
Laser Triangulation Sensor Development & Validation
Experimental characterization of broadband and piezoelectric vibration energy harvesting systems using controlled shaker excitation.
Two harvesting approaches were evaluated:
- WaveHarvester broadband energy harvester
- Double-cantilever piezoelectric harvesters
| Architecture | Frequency | Test Duration | Peak Voltage |
|---|---|---|---|
| WaveHarvester | 50 Hz | 6 min | ~3.05 V |
| Double Cantilever | 25 Hz | 6 min | ~0.247 V |
| Double Cantilever | 50 Hz | 6 min | ~0.022 V |
These results demonstrate the difference between broadband harvesting architectures and narrowband resonant harvesters.
Full experimental documentation:
2026-03-05 Vibration Harvester Validation
Prototype development work:
Representative debugging case studies demonstrating structured engineering approaches to diagnosing hardware failures.
Example debugging domains include:
- power rail failures
- PCB assembly defects
- signal integrity issues
- board bring-up failures
- measurement-driven fault isolation
Case studies:
Energy harvesting experiments use an ESP32-based telemetry system for measurement logging and remote monitoring.
Capabilities include:
- ADC voltage sampling
- CSV telemetry logging
- optional ThingsBoard telemetry streaming
- Wi-Fi reconnection and failover
- watchdog recovery for long-duration experiments
Firmware location: firmware/esp32-waveharvester/
Typical firmware components include:
boot.pymain.py- telemetry logging scripts
- ADC sampling routines
- Post-silicon validation and characterization
- Electronics bring-up and PCB fault isolation
- Firmware and low-level interface testing
- Optical sensing system validation
- Experimental hardware prototyping
- Energy harvesting systems and sensor platforms
- Test process design and validation strategy
- Python-based test automation
- Data-driven engineering and measurement analysis
- Cross-functional systems engineering
technical-portfolio-hardware-systems/
│
├── 01_post_silicon_validation
├── 02_electronics_pcb_validation
├── 03_firmware_low_level_testing
├── 04_energy_harvesting_prototyping
├── 05_test_process_design
├── 06_cross_functional_engineering
├── 07_hardware_debug_case_studies
├── 08_laser_triangulation_sensor_validation
│
├── docs
│ └── field-notes
│
├── firmware
│ └── esp32-waveharvester
│
└── README.md
Projects typically include:
- system architecture documentation
- debugging methodology
- experimental setup design
- measurement instrumentation
- test results and observations
- engineering conclusions
My work emphasizes measurement-driven engineering.
Rather than relying purely on theoretical models, I prioritize:
- designing controlled experiments
- instrumenting systems to capture real electrical and mechanical behavior
- analyzing measurement data
- isolating root causes through structured debugging
- iterating both hardware and firmware designs
The documentation in this repository is structured similarly to internal validation reports used in hardware R&D environments.
I am happy to walk through any of these projects during technical interviews or engineering discussions.