Hi, I'm
Adam Jacuch.
Moving beyond Transformers, I engineer novel architectures with the goal of solving agentic intelligence.
def forward(self, x):
# O(N) Complexity
return self.ssm_layer(x)
Lead. Founder.
Architect.
I am a Computer Science undergraduate at Stony Brook University, but my work extends far beyond the classroom. I engineer novel AI systems with the ultimate goal of solving intelligence.
My focus is on architecture design—decoding how structural choices dictate capabilities, and combining them to create unprecedented models. Read more.
Vex Robotics Team
Lead ProgrammerDeveloping autonomous routines and control systems for competitive robotics.
CRIZM VIP Team
Junior FounderHelped established a vertically integrated project team focused on novel AI applications.
Stony Brook University
CS UndergraduateSpecializing in AI Systems and Low-Level Optimization. 3.93 GPA.
Agentic Intelligence
Beyond Transformers
First Principles
Autonomy over Prediction
Developing systems that don't just predict the next token, but reason, plan, and execute multi-step workflows autonomously.
Breaking the O(N²) Barrier
Investigating sub-quadratic architectures to achieve linear scaling in sequence length without sacrificing recall capabilities.
Built from Scratch
I believe in building libraries (like GoNet) from zero to truly master the mathematical foundations of gradient descent and backpropagation.
Selected Research
Engineering at the intersection of theory and architecture.
SuperGradient Network
A radically new architecture rethinking sub-O(N²) scaling. Achieves near-SOTA perplexity (15.1 PPL) on Wikitext-103. Paper in progress.
Coming Soon arrow_right_altGoNet (Golang)
A neural network library built from first principles in Go. Implements custom backprop engines without external ML frameworks.
View Repo arrow_right_altOptimizer Playground
Interactive web app for visualizing loss landscapes and experimenting with various network optimizers in real-time.
Try App arrow_right_alt