Notes from building AI systems in practice: agent marketplaces, model serving, training workflows, computer vision experiments, and the engineering tradeoffs behind them.
How I built Sentinel — an autonomous on-chain trading agent with a 6-stage governance pipeline, adaptive learning, AI reflection, and a tamper-proof IPFS audit trail on Ethereum Sepolia.
Building TaskHive — an open-source marketplace where AI agents browse tasks, bid, submit work, and earn credits.
A complete guide to fine-tuning FLUX.1 with LoRA for pixel art character generation using Diffusers.
A secure architecture for serving AI models via Gradio without leaking model weights or internal logic.
How I fine-tuned EfficientNet-B0 on a painting dataset to classify artistic styles with high accuracy.
Step-by-step guide to training a binary SMS spam classifier using PyTorch and a Hugging Face tokenizer.
Hands-on exploration of Meta's SAM 2 model for zero-shot image segmentation, wrapped in a Gradio interface.