Hello, world.

I'm Jack Edelist.

Student of Computer Engineering & Machine Learning Student-Athlete, Guitarist, DJ Junior Developer

More About Me
About Me

Let me introduce myself.

Profile Picture

I'm a Senior student-athlete at Boston University studying computer engineering with a concentration in machine learning, where I play for the Men's Rugby Team, play lead guitar for the Pep Band, am a member of the Sigma Phi Epsilon fraternity, and am a professional DJ. I work as an undergraduate intern for the Bio Optical & Acoustic Spectroscopy (BOAS) Lab where I manufactured NinjaNIRS2021 wearable helmet device optodes using Functional Near Infrared Resonance Spectroscopy (fNIRS) and now design, train, and test a ConvLSTM neural network architecture to detect stalls in brain capillaries.

Previously, I've loved working with children, teaching them guitar and coaching them in hockey. Now, I'm focusing on exploring projects in my free time, working at my internships, and enjoying the thrill of college. For fun, I love sports – hockey, football, rugby, snowboarding – playing guitar, and DJing at nightclubs.

In Summer 2023, I interned as a software engineer for General Motors in Pontiac, MI, working on their hydrogen fuel cell technology – HydroTec. Over Summer 2024, I continued my research in the BOAS lab, working on their deep learning ConvLSTM model for detecting stalls in brain capillaries.

I'm seeking full-time hardware, software, and machine learning engineering opportunities post-graduation. Please feel free to reach out to discuss anything from projects to hobbies!

Interests

I am interested in AI/ML in new technologies; more specifically, my interests lie in deep learning, quantum mechanics, and fNIRS.

  • Current Education Bachelor of Science - Class of 2025
    Major: Computer Engineering
    Concentration: Machine Learning
  • Current Job: Undergraduate Research Assistant at Boston University Bio Optical & Acoustic Spectroscopy (BOAS) Lab
  • Email: edelist@bu.edu

Skills

Other skills: Cloud Computing, Deep Learning, Reinforcement Learning, PyTorch, Advanced Algorithms & Data Structures, Operating systems, Linux/UNIX, Computer Architecture, Computer Networking, MATLAB/Simulink, Java, AWS, Pinecone, Django, Flask, MongoDB, FPGA, MIPS & x86 Assembly Language, Swift, Arduino, Git, UNIX, CAD, electrical circuits, digital circuits, economics, fNIRS, ETAS: Control Desk - INCA - MDA, Vehicle Spy, PCAN Explorer Pro

Resume

More of my credentials.

Work Experience

Controller Test Engineer (Software Engineering Intern)

June 2023 - August 2023

General Motors – Hydrogen Fuel Cell Controller Integration Group

  • Wrote Simulink software for dual hydrogen fuel cell power cube simulation with 66 CAN messages; tested by programming PCAN-Router Pro
  • Tested and wrote testcases for 3 CAN translation boxes using dSpace hardware-in-the-loop simulator, Vehicle Spy, PCAN Explorer
  • Safety verified new software version for 22 fuel cell serial data CAN messages: faults, diagnostics, maturation times, remedial action

Undergraduate Research Assistant

September 2022 - Present

Boston University Bio Optical & Acoustic Spectroscopy Lab

  • Manufacture NinjaNIRS2021 wearable helmet device optodes using Functional Near-Infrared Resonance Spectroscopy (fNIRS)
  • Manufacture hardware that is updated with BOAS Lab's fNIRS systems, and distribute devices to internal/external research peers
  • Designing, training, testing ConvLSTM neural network to detect stalls in brain capillaries with 0.8 testing accuracy

Head Guitar Instructor

June 2021 - August 2022

Camp Arowhon

  • Supervised and led the guitar department at an overnight summer camp for children aged 7-15
  • Created curricula, learning materials, and awards tailored to the individual
  • Facilitated communication between 4 supervisees and management
  • Taught a minimum of 5 hours per day, 6 days per week - not including time spent outside the classroom

Education

Bachelor of Science

September 2021 - Present

Boston University

Concentration in Machine Learning
Cumulative GPA: 3.32
Relevant Coursework: Cloud Computing, Reinforcement Learning, Advanced Algorithms & Data Structures, Deep Learning, Operating Systems, Machine Learning, Computer Organization, Computer Networking, Algorithms & Data Structures, Logic Design, Software Engineering, Linear Algebra, Discrete Math, Differential Equations, Probability/Statistics/Data Science, Electrical Circuits, Electricity & Magnetism, Engineering Mechanics, CAD, Chemistry

High School

September 2017 - May 2021

Upper Canada College

IB Diploma & OSSD Diploma
GPA: 4.4/4.0
IB Points: 41
Year 12 OSSD Average: 96.3%

Projects

My notable work in chronological order.

My projects consist of practical solutions to problems and various explorations with different coding.

My Future...

What might it look like?

16

Projects Completed

11

Proficient Languages
Contact Me

I'd Love To Hear From You.

Please don't hesitate to reach out and discuss ideas, projects or hobbies!

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Where to find me

44 Cummington Mall
Boston, MA
02215 US

Email Me At

edelist@bu.edu

Call Me At

Mobile: +1 (617) 909-7183