A minimal autograd engine built from scratch in Rust exploring where neural network performance actually comes from. Implements reverse-mode autograd over a dynamic graph, four matrix multiplication kernels (naive, tiled, packed+SIMD, and an experimental Strassen-form mp variant), a kernel scheduler, and a gradient memory pool with lifetime-based release. CPU-only; SIMD via NEON on arm64 and AVX2+FMA on x86_64.

Research-driven LLM architecture exploring energy-based self-learning for scientific reasoning, symbolic mathematics, and formal logic. Combines contrastive energy functions with autoregressive generation to enable iterative self-correction without external reward models.

Real-time chat system built from scratch over raw WebSocket connections. Persistent message storage, presence detection, typing indicators, and room-based multiplexing — no third-party chat SDKs.

Mobile application that clusters photos using on-device ML for perceptual similarity. Extracts feature embeddings, runs hierarchical clustering, and groups visually related images without uploading data to any external server.

Deterministic spatial interaction engine for generating structured synthetic datasets. Simulates grid-based environments with configurable physics, agent policies, and collision semantics — designed to produce training data for autonomous agent learning.

AI-driven microplastic detection pipeline combining optical particle counters with Bulk Acoustic Wave (BAW) preprocessing. Classifies particle morphology through signal analysis and implements a toxin-free acoustic capture system for microplastic recovery across varied aquatic environments.