About Me
Let me introduce myself.
I'm currently building Roomform — an AI-powered design suite and AI-native 3D infrastructure for retail.
We're making it easy for retailers (starting with furniture) to generate 3D assets, manage catalogues, and distribute to customers online and in-store.
On the side, my artist project Fortune was a former resident artist at Big Night, New England's largest hospitality and entertainment company.
I also co-founded Sonder Ground in Boston — a dance music collective specializing in unique venues and visual art.
Before all this, I was a student-athlete at Boston University, where I studied computer engineering with a concentration in machine learning,
captained the Men's Rugby Team, played lead guitar for the Pep Band, and was a brother of the Tau Kappa Epsilon fraternity.
During my years at BU, I worked as an undergraduate research intern at the Bio Optical & Acoustic Spectroscopy (BOAS) Lab, where I manufactured
NinaNIRS2021 wearable helmet device optodes using functional near-infrared spectroscopy (fNIRS) and
trained a ConvLSTM neural network to detect stalls in brain capillaries.
Then during my senior year Co-op at Red Hat, I built Ansible Wrangler — an AI agent and RAG tool for Ansible playbook deployment native within ServiceNow.
And in Summer 2023, I interned as a software engineer at General Motors, working on their hydrogen fuel cell technology – HydroTec.
Throughout my career, I've loved working with children, teaching them guitar and coaching them in hockey.
Always open to connect!
Interests
AI-native infrastructure, deep learning, quantum mechanics.
- Education Bachelor of Science, Boston University Computer Engineering & Machine Learning
- Current Co-Founder — Roomform Co-Founder — Sonder Ground Artist — Fortune
- Email jack.edelist@gmail.com
Skills
Languages: Python, TypeScript, JavaScript, Java, C++, C, HTML/CSS, MIPS Assembly, x86 Assembly, Verilog, Simulink
Tools: PyTorch, AWS, Next.js, LangChain, OpenAI, Google AI, Anthropic, Django, RAG, Docker, PostgreSQL, Vercel, Linux, FPGA
Proficiencies: Cloud Computing, Cybersecurity, Reinforcement Learning, Advanced Algorithms & Data Structures, Deep Learning, Operating Systems, Computer Organization, Computer Networking, Logic Design, Linear Algebra, Discrete Math, Differential Equations, Probability/Statistics, Electrical Circuits, Electricity & Magnetism
