AI for offshore wind, researched on site in Norway. Floating turbines and floating solar.
Hussam
Ali
I work across every layer of the AI stack — energy, chips, infrastructure, models, and applications, in that order.
Now
Co-Founder, Offline Base — private AI on a drive you own.
Teaching
Adjunct Lab Technician / Educator — CUNY College of Staten Island.
Studied
B.E. Electrical & Computer Engineering — CSI, 2026.
Previously
TSMC · North Atlantic Industries · University of Stavanger
From the power AI runs on to the tools people actually use.
I've worked on chips at TSMC and North Atlantic Industries, did AI-in-energy research in Norway, and spend my free time pushing small local models as far as they'll go.
Process engineering in TSMC's Diffusion Module. Before that, North Atlantic Industries.
Chips
Small local models, pushed to the limit. And taught to 48 people with the Wi-Fi off.
Models
From the fab floor to a fjord, and back to the lab.
Coming from electrical engineering, I care about the gap between "this works in theory" and "this actually runs on hardware in front of you."
-
Co-Founder
Offline Base
Making local AI easy for everyone: private, offline AI that runs from a USB drive or an always-on box at home.
Jun 2026 — Now
New York -
Adjunct Laboratory Technician / Educator
CUNY College of Staten Island
Back at CSI, on the other side of the lab bench.
Aug 2026 — Now
Staten Island -
Graduate Student Researcher
University of Stavanger
How AI and machine learning can advance offshore wind: predictive maintenance, system monitoring, performance optimization and data-driven decisions, with a focus on floating turbines.
May — Jul 2026
Stavanger, Norway -
Process Engineering Intern
TSMC · Diffusion Module
Semiconductor process development in the Diffusion Module at TSMC Arizona.
May — Aug 2025
Phoenix, AZ -
Engineering Intern
North Atlantic Industries
Worked on chips as an engineering intern on Long Island.
Nov 2024 — May 2025
Bohemia, NY
Education
-
B.E. Electrical & Computer Engineering
CUNY College of Staten Island
GPA 3.7
2022 — 2026
-
High School Diploma, Biology
Brooklyn Technical High School
GPA 4.0
2018 — 2022
Offline Base · Co-Founder
Private AI on a drive you own. It keeps answering with the Wi-Fi off.
Local, open, small models are good enough for most everyday work. Running them on your own machine means nothing to upload, no monthly bill, and no model that gets retired out from under you.
- Base DrivePrivate AI from a USB drive. $19.99, coming soon.
- Base RouterAn always-on private AI box for your home.
Fast, practical AI systems people can actually use.
Winner · Cerebras × Google DeepMind Gemma 4 Hackathon
Track 1: Multiverse Agents — Best Multi-Agent + Multimodal Use Case.
The biggest hackathon Cerebras has ever hosted. Built with Ethan Castro and Hazem Abo-Donia; we submitted four projects, including the winning multi-agent, multimodal system.
1,300+
Signed up
~900
Hackers
500+
Projects
$2,000
Prize
Workshop · May 14, 2026 · College of Staten Island
Run AI Models Locally. Wi-Fi off, models on flash drives.
Co-led with Ethan Castro. 48 people got Google DeepMind's Gemma and other local models running on their own laptops and phones in about 90 minutes.
48
Attendees
90
Minutes
0
Wi-Fi
Built close to the metal.
-
P-01
C++ Neural Network Inference Engine
A high-performance C++ inference runtime for CPU and accelerator-style execution, with multithreading, memory pooling and optimized matrix operations. Exposed as a shared library for larger systems.
-
P-02
Local LLM Agent on an Edge Device
An on-device LLM agent on an NVIDIA Jetson Orin Nano, with an E-Ink drawing pad for input. Evaluated across prompts, tools and MCPs. With Ethan Castro.
-
P-03
Hybrid Local / Cloud Router
Answers locally when it can; on spotty Wi-Fi it batches 100 prompts to a larger model in parallel and returns them in under 3 seconds.
-
P-04
CSI HPCC Docs ↗
Student-facing documentation for the College of Staten Island's high-performance computing cluster and AI tooling, built with Ethan Castro.
Open to
full-time roles.
I'm looking for a full-time role at a company on the forefront of electrical engineering and AI — chips, energy, infrastructure, models, and the products built on them.