AI Engineer & Researcher
DivyeshPatel
Building systems that understand, adapt, and prevent — so no human brain has to suffer.
About
AI Engineer building at the intersection of deep learning, reinforcement learning, and neuroscience.
MS in Artificial Intelligence from the University at Buffalo. BTech in Computer Engineering (AI/ML) from Silver Oak University.
Previously: IEEE Computer Society & Signal Processing Society Chairperson at Silver Oak University.
“First-principles algorithms over surface-level abstractions. AI that augments existing systems rather than replacing them.”
Knoxville, Tennessee
Research & Publications
HDBSCAN + VAE + diffusion models + AWR-based RL agent + LLM rationale generation. Achieved 83% treatment accuracy on MIMIC-III and eICU datasets.
Mamba SSM + CNN encoder with three-component loss (contrastive + forecast + biomarker alignment). Near-zero forecast MSE (~0.002) on EEG temporal dynamics.
Introduced the 81-dimensional Spectral-DASI feature token and Dynamic Alpha Suppression Index (DASI) for binary stress classification. EEG Conformer and EEGMamba backends on SEED-VII.
What I Build
End-to-end intelligent systems that learn, adapt, and optimize in real time — from reinforcement learning agents to production-grade computer vision and MLOps pipelines.
Real-time decision engines for environments with sparse rewards and delayed feedback. Turning uncertainty into action.
Real-time neurological signal processing for proactive detection and prevention. Because no human brain should have to suffer.
Tools, frameworks, and research code shared with the community. Building in the open wherever possible.
Blog
Long-form writing on reinforcement learning, neuroscience, and building companies. Coming soon.
Why understanding the mathematical foundations matters more than chasing benchmarks.
Connecting neuroscience's most ambitious theory to practical machine learning systems.
On the discipline of building before announcing, and why patience compounds.
Contact
Interested in collaboration, research, or just want to talk about AI and neuroscience? I'd love to hear from you.
pateldivyesh2309@gmail.comThe spiral is time.
Always moving forward. Never the same path twice.
Yet always returning.
Each particle is a life.
Proposing. Accepting. Rejecting.
Sampling from the infinite.
T → 0 : we cling to what we know
T → ∞ : we explore the unknown
φ is the most irrational number — the hardest to approximate, the most resistant to pattern. And from that resistance: beauty.