Nikolai Nekrutenko

nan34@cornell.edu nekrutnikolai.com

Education

Cornell University · Ithaca, NY

Master of Engineering · Electrical and Computer Engineering Aug 2024 – May 2025

Relevant Coursework: Microcontrollers, Analog IC Design, Foundations of Robotics, Foundations of Machine Learning, Multi-Agent Systems, Power System and Market Operations.

Bachelor of Arts · Physics Aug 2021 – Dec 2024

Relevant Coursework: Electronic Circuits, Embedded Systems, Signals & Systems, Data Science, Radar Remote Sensing, Electro/Magnetostatics & Electrodynamics, Analytical Mechanics.

Skills & Licenses

  • Programming Languages & Tools: Python, C++, Linux, Bash Scripting, Git, NumPy, SciPy, Observable JS
  • Embedded & Electrical Systems: Microcontrollers, Sensor Interfacing, Circuit Design, Signal Processing
  • Prototyping Skills: CAD, KiCad, Electronics Prototyping, SLS/SLA/FDM 3D Printing
  • Other Skills: Problem Solving, Team Collaboration, Technical Documentation, Project Management
  • Languages & Licenses: Fluent in Russian, French, English · FAA Part 107 Remote Pilot License, General FCC Radio License

Work Experience

Systems Integration Intern · Formlabs · Somerville, MA Jun 2024 – Aug 2024
  • Devised an experimental setup and methods to evaluate thermopile array infrared (IR) sensors for next-gen SLS printing technology to maximize performance and dimensional accuracy.
  • Calculated the off-axis projection of sensor pixels and made an interactive tool in Observable JavaScript.
  • Developed test and alignment scripts in Python, automating the test setup to characterize IR sensors.
  • Built analysis Jupyter Notebooks in Python to compare the performance of sensors across varying environmental conditions and sensor configurations using NumPy and SciPy.
Gimbals R&D Intern · Freefly Systems · Woodinville, WA Jun 2023 – Apr 2024
  • Developed a motion-control beta embedded firmware release in C++ with Git version control for the Movi Pro gimbal based on IMU data, gimbal physics, and user input — used in cinema productions.
  • Created an intuitive menu with user feedback on the Movi Controller to interact with the beta firmware.
  • Wrote user-friendly, interactive documentation outlining the beta firmware in Observable JavaScript.
  • Derived a forward and inverse kinematics model of a non-orthogonal gimbal to evaluate the viability of a potential gimbal design and determine gimbal-lock mitigation techniques.
Student Researcher · Fatemi Lab @ Cornell AEP · Ithaca, NY Mar 2022 – Feb 2024
  • Wrote automated installation scripts and Jupyter Notebooks to set up a Linux environment for interfacing with lab equipment over the GPIB interface using Python and QCoDeS.
  • Saved tens of thousands of dollars in lab equipment by enabling interfacing with existing equipment.
  • Simulated variations in resonance due to EM fields, informing the design of microwave resonators to measure impurities in substrates, in collaboration with grad students — increasing cleanroom efficiency.
  • Presented project updates at weekly lab meetings and to collaborators.
Teaching Assistant · Cornell University · Ithaca, NY Aug 2022 – Dec 2022
  • Led a weekly lab section of 15 students and held weekly office hours.
  • Graded problem sets and labs, giving constructive feedback to help students understand key ideas.
  • Mentored students about future course and career advice.

Project Experience

Low-Cost Depth Sensing Module for Deep-Water Research · M.Eng. Thesis Sep 2024 – Present

Researching and developing a custom sensor mechanism and embedded systems package in collaboration with Dr. Hunter Adams and the Woods Hole Oceanographic Institution for depths up to 2000 meters.

Drone Development Member · Cornell University Sep 2023 – Present

Developing a robust, low-cost quadcopter platform to be used in mechanical, aerospace, and electrical engineering course labs as a supplementary hands-on lab component with a team of engineers.

NeoPixel FFT Audio Visualizer · Personal Project Jun 2022 – Jan 2023

Co-designed and wrote a program that visualizes the waveform and intensity of music for a custom-built individually-addressable RGB LED matrix using Fast Fourier Transforms in Python on a Raspberry Pi.

Extracurricular Activities

First Degree Black Belt · A Mountain Wind Martial Arts · State College, PA Feb 2013 – Present

Instruct, help lead class, and aid students with the practical and philosophical applications of the martial art at a local studio. First Degree Black Belt in Tang Soo Do, a Korean martial art.