Menu
Hello, world.

I'm Jack Edelist.

BS in Computer Engineering & Machine Learning Athlete, Guitarist, DJ Startup Co-Founder

More About Me
About Me

Let me introduce myself.

Profile Picture

I'm a recent graduate student-athlete at Boston University, where I studied computer engineering with a concentration in machine learning, played for the Men's Rugby Team, played lead guitar for the Pep Band, and was a member of the Tau Kappa Epsilon fraternity.

Before graduating, I co-founded Roomform, an AI-powered 3D design platform serving as a marketplace and community for consumers and a B2B SaaS for retailers. I launched my artist project, Fortune, becoming a nightclub DJ resident at Big Night, New England's largest hospitality, nightlife, and entertainment company. Based in Boston, I co-founded Sonder Ground, an entertainment company specializing in planning events around dance music and unique venues.

During my years at BU, I worked 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 designed, trained, and tested a ConvLSTM neural network architecture to detect stalls in brain capillaries.

In Summer 2023, I interned as a software engineer for General Motors in Pontiac, MI, working on their hydrogen fuel cell technology – HydroTec. And during my senior year Co-op at Red Hat, I built Ansible Wrangler, an AI-powered cloud service for automated Ansible playbook deployment native within ServiceNow.

Notably, throughout my career, I've loved working with children, teaching them guitar and coaching them in hockey.

Always open to connect!

Interests

AI-native consumer applications, deep learning, quantum mechanics.

Skills

Languages: Python, C/C++, Verilog, Java, JavaScript, TypeScript, Swift, MATLAB, Simulink, HTML, CSS, MIPS Assembly, x86 Assembly

Tools: PyTorch, AWS, Next.js, React, LangChain, Django, Docker, PostgreSQL, OpenAI, Google AI, Vercel, RAG, Pinecone, MongoDB, FPGA, Linux/UNIX, TCP/IP, UDP, CAN Bus

Proficiencies: Cloud Computing, Distributed Systems, Deep Learning, Reinforcement Learning, Cybersecurity, Algorithms & Data Structures, Operating systems, Computer Architecture, Embedded Systems, Computer Networking, Agile Development, Electrical Circuits, Digital Circuits, Micro & Macro Economics, Engineering Mechanics, Linear Algebra, Discrete Math, Probability & Statistics

Email Me Resume
Resume

More of my credentials.

Work Experience

Co-Founder

May 2025 - Present

Roomform AI

  • Building the accessible 3D design & commerce platform: LiDAR scanning, web marketplace, custom 3D models, AI agent
  • In public beta, interviewed at Y Combinator

Software Engineering Intern

September 2024 - December 2024

Red Hat

  • Designed Ansible Wrangler end-to-end – a cloud service for ServiceNow incidents to search for, generate and deploy Ansible playbooks
  • Implemented RAG search, generation using Ollama ‘Qwen2.5-32B’, and SSH deployment using Ansible Automation Platform (AWX)

    • 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 - May 2025

    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 30 hours per week, spent remaining hours supervising campers

    Publications

    Tellura

    May 2021

    Physics Research Paper: The Effect of Changing a Guitar's Pickup Configuration on Tonal Quality

    Derived a relationship between the fast-Fourier transform (FFT) analysis and properties of electromagnetic induction with resonant frequencies of LC-circuits using electrical impedance, inductive reactance, and capacitive reactance.

    Edelist, J. (2021). Investigating The Effect of Changing a Guitar's Pickup Configuration on Tonal Quality. Tellura, 1(2), 8-29.

    Education

    Bachelor of Science

    September 2021 - Present

    Boston University

    Concentration in Machine Learning
    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%

    Philanthropy

    Tau Kappa Epsilon Fraternity

    March 2025

    TKE Dodgeball '25

    • Founded and organized first annual charity dodgeball tournament benefiting St. Jude Children's Research Hospital
    • Raised $6000, hosted 200+ attendees with 14 teams and 120 players
    • Hosted raffle with 11 sponsors (including the Boston Celtics, Red Bull, Celsius) and raised $2000 in prizes
    • The highest-attended Greek Life philanthropy event at BU in 2025

    Projects

    Notable work in chronological order.

    From fun ideas to startups.

    Liberty

    Multimodal Digital Clock

    Verilog, FPGA, VGA monitor connector
    Shutterbug

    Gopher

    IOS Application (Swift)
    Clouds

    Arithmetic Logic Unit

    Verilog HDL
    Beetle

    Counter, Debouncer, 7-Segment Display Driver

    Verilog HDL, FPGA
    Lighthouse

    Smart Bike Light

    Product Design, Arduino Nano BLE 33
    Salad

    Physics Research Paper

    The Effect of Changing a Guitar's Pickup Configuration on Tonal Quality
    UNIX Shell

    UNIX Shell

    Linux, C, Operating systems
    Threading Library

    Threading Library & Local Storage

    Linux, C, Operating systems
    File System

    File System

    Linux, C, Operating systems
    File System

    Audio Style Transfer Using Mel-Spectrograms

    Deep learning, PyTorch, convolutional neural networks, transformers
    File System

    VSLAM 3D Object Detection

    RGBD VSLAM, Java, MATLAB, JavaScript, Flask, MongoDB, PyTorch
    Ansible Wrangler

    Ansible Wrangler

    Python, Ollama, ServiceNow, Ansible Automation Platform (AWX), Retrieval-Augmented Search (RAG)
    Ansible Wrangler

    Roomform AI

    Next.js, React, Three.js, Django, AWS, LangChain, SwiftUI
    My Future...

    What might it look like?

    Contact Me

    I'd Love To Hear From You.

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

    Sending...
    Your message was sent, thank you!
    Where to find me

    Toronto, ON

    Email Me At

    jackedelist@gmail.com