About this Candidate
DAVRON CV: Candidate 1966840
COMPUTER ENGINEER | TEST EQUIPMENT, EMBEDDED SYSTEMS & APPLICATIONS ENGINEERING
Core Expertise
- Commissioning and troubleshooting of parameter analyzers, oscilloscopes, SMUs, DMMs, AFGs, and power supplies.
- Measurement validation and signal characterization for customer-facing applications and technical documentation.
- Embedded firmware development and hardware integration using STM32F4, ESP32, sensor telemetry, and motor control.
- Bench testing and lab support for reproducible test setups and diagnostic procedures.
- Collaborating with cross-functional teams to reproduce issues, propose solutions, and support customers.
Project Background
- Integrated embedded controllers, sensors, GPS/IMU telemetry, and motor drivers for autonomous actuator system.
- Implemented diagnostic modes for motor, sensor, and UART communication validation prior to demonstrations.
- Built a Python ML pipeline to forecast next-day solar energy yield using regression and ensemble models.
- Developed full-stack real-time messaging application with authentication, role-based access, and socket communication.
- Authored Python automation examples and reviewed technical documentation for test-equipment application notes.
Key Skills
- Parameter Analyzers | Oscilloscopes | SMUs | DMMs | AFGs | Power Supplies
- Bench Testing | Measurement Validation | Signal Measurement | Circuit Debugging
- STM32F4 | ESP32 | FPGAs | PLCs | Motor Drivers
- UART | I2C | SPI | PWM | ADC/DAC | LoRa | GPS/IMU
- C/C++ | Embedded C | Python | MATLAB
- Cadence | Multisim | PSpice | STM32CubeIDE | VS Code
- Git/GitHub | Jira | KXCI | Test Automation
Education
- B.S., Computer Engineering — University of Akron (Cum Laude)
Awards & Recognition
- Second Place, ECE Senior Design Competition
Why Interview this Candidate?
An early-career computer engineer with practical experience commissioning test equipment and delivering embedded solutions. Proven ability to reproduce and resolve customer issues, create automation examples, and validate measurements. Technical breadth across firmware, sensors, and bench instrumentation enables rapid contribution to applications engineering teams.
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