About Me
Let me introduce myself.
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 and management system for furniture retailers.
I launched my artist project, Fortune, becoming a nightlife resident at Big Night, New England's largest hospitality, nightlife, and entertainment company.
Based in Boston, I co-founded Sonder Ground, a collective specializing in 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
NinaNIRS2021 wearable helmet device optodes using functional near-infrared 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 agent and RAG tool for Ansible playbook deployment native within ServiceNow.
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.
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Current Education
Bachelor of Science - Class of 2025
Major: Computer Engineering
Concentration: Machine Learning - Current: Co-Founder at Roomform Co-Founder at Sonder Ground
- Email: jackedelist@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
