About

I’m an aspiring computer engineer passionate about the intersection of software, hardware, and artificial intelligence. At Textron Aviation’s TRU Simulation, I'm currently an aircraft systems software engineering intern working on implementing and integrating latency/transport delay testing using C++, software verification, and simulator configuration management using Python and Salesforce. Last year, I completed an electrical engineering internship where I engineered standalone and convertible avionics desktop trainers and designed circuitry for simulator cockpits. At Massachusetts General Hospital’s Martinos Center, I developed and trained novel deep learning models for 3D neurovascular segmentation, designed a complete analysis pipeline to aid neurodegenerative disease research, and imlemented a CUDA-accelerated FFT to reduce image acquisition overhead. My diverse background and coursework in operating systems, FPGA development, high-performance computing, computer architecture, computer networking, and deep learning, bridges the gap between hardware and software and reflects my passion for solving complex, cross-domain engineering problems.

  • Current Education: Bachelor of Science
  • Major: Computer Engineering
  • City: Boston, MA & Toronto, ON
  • Cumulative GPA: 3.77/4.0
  • Phone: +1 (857) 328-3986
  • Email: jedelist@bu.edu

Interests

Software Engineering

Deep Learning

Computer Vision

FPGA Development

Computer Architecture

Embedded Real-Time Systems

Specialized Vehicles and Defense

Image Processing

Education

Bachelor of Science in Computer Engineering

September 2022 - Present
Relevant Coursework
  • Machine Learning
  • Computer Organization
  • Algorithms & Data Structures in C++
  • Digital Logic Design
  • AMD/Xilinx FPGA Development
  • Software Engineering

International Baccalaureate (IB) Diploma

September 2017 - May 2022
Relevant Coursework
  • IB Higher-Level Physics, Chemistry, Math
  • 41/45 IB Diploma Total; 96% OSSD Average

Skills

Experience

TRU Simulation - Textron Aviation

June 2025 - August 2025

Software Engineering Intern - Arcraft Systems

  • Implemented and integrated the hardware and software required for transport delay testing on the Citation Ascend Full Flight Simulator; contributed to improved system performance verification in preparation for the qualification process.
  • Wrote Python scripts and interfaced with simulator hardware components to test for internal latency of Garmin avionics and other systems.
  • Conducted software acceptance testing of instrumentation, navigation and autopilot systems on the Citation Ascend Full Flight Simulator.
  • Designed standardized simulator specification form and used Python to streamline the extraction and transfer of configuration data into Salesforce reducing simulator design discrepancies and enhancing aftermarket support data accessibility.

TRU Simulation - Textron Aviation

June 2024 - August 2024

Electrical Engineering Intern

  • Designed novel flight desktop trainer systems using the Garmin G3000, and G5000 Avionics Suites.
  • Collaborated with a peer to design all official system schematics, system prints, wiring diagraoms, parts lists, and cable drawings to support the modular design and future scalability.
  • Interfaced Garmin avionics systems with UEI Data Acquisition Cards, avionics computers, host computers, and cockpit input/output distributions, ensuring efficient communication and integration across all components.
  • Designed circuitry and solutions for annunciator panels and cockpit input/output distributions.

Massachusetts General Hospital Athinoula A. Martinos Center for Biomedical Imaging & The Boston University Bio Optical & Acoustic Spectroscopy (BOAS) Lab

June 2023 - May 2025

Undergraduate Researcher & UROP Grantee

  • Awarded the Undergraduate Research Opportunity Program Grant from Boston University for three semesters.
  • Trained several U-NET (CNN) configurations on real and synthesized PS-OCT images to iteratively improve performance.
  • Maximized vessel and enlarged perivascular spaces (EPVS) segmentation accuracy when used on post-mortem PS-OCT brain images of diseased tissue.
  • Achieved 87% testing accuracy by leveraging several training, optimization, fine-tuning and data augmentation techniques. Outperformed human labels on testing volumes, as verified by EPVS and vessel pathology expert.
  • Wrote functions to convert the U-NET segmentation predictions to 3D graph structures, then used the graph structures to compare brain tissue affected with neurodegenerative diseases to control cases using machine learning techniques and statistical analyses. Used known disease staging to validate pathological conclusions drawn using my segmentation and analysis methods.
  • Implemented the Fast Fourier Transform (FFT) algorithm using Nvidia CUDA to leverage GPU acceleration and reduce imaging and data acquisition overhead by 75%.

Axiom Learning

July 2023 - May 2024

Pre-calculus, math, and ISEE Tutor

  • Tutored student on the verbal reasoning and reading comprehension sections in preparation for the ISEE.
  • Taught calculus fundamentals to a high school student and assisted with the university application process.

Camp Manitou Canada

June 2022 - August 2022

itness Instructor and Counselor

  • Fitness Instructor and counselor at Camp Manitou.
  • Guided, coached, and facilitated a fun summer for over 400 young campers.

Projects

Universally Slimmable & Dynamically Resizable and DUCKNet for Real-Time Pharynx Segmentation

Optimized and Parallelized Floyd-Warshall Algorithm for CPUs and GPUs

Convertible Avionics Trainer - Garmin G3000 & G5000 Suites

FPGA ALU Calculator

Barbie Rescue Game Android App

Smart Dog Door Using YOLOv5 & Raspberry Pi

Smart Arduino Powered Temperature Sensor

Resume & Links

Resume

Below you can view my resume, or download a copy.

Contact

My Address

28 Wadsworth St.

Boston, MA 02134

Social Profiles

Email

jedelist@bu.edu

Contact

+1 (857) 328-3986