Ben Mackert

Education

University of Colorado Boulder, Boulder, CO
B.S. Electrical and Computer Engineering · Expected May 2027
GPA 3.9, Dean’s List

Technical Courses

• Circuits I (A), Circuits II (A), Electronics Design Lab (A–), Embedded Software Engineering (A)
• Linear Systems (A), Computer Organization (A), RTOS (A–), Probability Theory (A)
• Data Structures (A), Prog. Digital Systems (A–), Physics II (A)
• Calculus I (A, AP 5), Calculus II (A–), Calculus III (A–)

Skills

Languages: C, C++, Python, RISC-V Assembly, Verilog, LaTeX, Java, HTML, CSS

Software: OpenCV, MediaPipe, Altium Designer, SolidWorks, LTspice, STM32CubeIDE, GitHub, Bitbucket, Excel

Core Engineering Skills: Embedded Systems, Computer Vision, Machine Learning, Embedded Firmware, Circuit Design, Digital Logic, Sensor Interfaces, Data Logging

Hardware & Testing: PCB Design, Hardware Bring-Up, Sensor Integration, SMD, THT, Soldering, Oscilloscopes, Function Generators, DMMs, Power Supplies

Experience

Electrical & Software Engineering Intern – Medtronic · Boston, MA | Jun 2026 – Aug 2026

• Developed a surgeon head-pose tracking pipeline using Intel RealSense, OpenCV, MediaPipe Face Mesh, and solvePnP to analyze RGB/NIR camera tracking against a motion-capture reference system.
• Synchronized motion-capture head-pose data with camera frame timestamps over DDS for post-session and real-time comparison of stereo NIR, RGB, and reference tracking solutions.
• Built a Python GUI to manage capture metadata, log synchronized tracking data, and streamline computer vision analysis across test sessions.
• Supported STM32 board bring-up for a surgical robotics prototype, including debugging hardware issues, and developing I2C firmware for sensor data acquisition.

Electrical Engineering Intern – CONMED Corporation · Denver, CO | May 2025 – Aug 2025

• Designed and built an auto-calibration system using an Arduino Nano Every and digital potentiometer to map ESU voltages to resistance with a 4^th-degree polynomial.
• Designed a custom PCB in Altium for the calibration hardware, integrating a resistor ladder with MCU control.
• Created a Python Tkinter GUI and serial/Matplotlib backend to display real-time calibration plots.
• Reduced calibration error by 92.5%, enabling full transformer compatibility and cutting manufacturing scrap.
• Simulated 3- and 4-point calibration in Python; achieved LMS errors as low as 1.76 Ω² across transformer models.
• Delivered three Python modeling tools and documented findings in an internal engineering report.

Projects

STM32 Microcontroller PCB – Bluetooth & USB-C

• Created a 4-layer STM32 PCB in Altium Designer for Bluetooth and USB-C integration.
• Achieved 480 Mbps USB-C data and BLE telemetry for wireless diagnostics between devices in testing scenarios.
• Optimized high-speed signal routing against EMI by collaborating with 3 engineers on layout constraints and PCB stack-up.
• Engineered oscilloscope-based test methods, boosting debugging efficiency by 20% and accelerating bring-up.

Restaurant Review Backend App

• Built a modular data store in C++ to manage structured reviews, enabling filtered queries in under 100 ms.
• Optimized search performance using hash maps and binary search trees; improved throughput and load handling by 40%.
• Managed feature branches; reviewed, tested, and merged 10 pull requests with clean commits.
• Refined user input and query handling across 4 iterative versions, cutting user-reported bugs by over 30%.