NLP and language tooling
Text classification, moderation, retrieval workflows, and production pipelines for AI features that need to hold up outside a notebook.

Muhammad Illiyin Ashraf - Pakistan
I build production AI features for startups and founders: NLP classifiers, computer vision systems, generative AI pipelines, secure inference backends, and autonomous agents with MCP. Open for freelance projects worldwide.
Text classification, moderation, retrieval workflows, and production pipelines for AI features that need to hold up outside a notebook.
Image segmentation, captioning, visual understanding, and inference services for products that need reliable vision capabilities.
Autonomous agent systems, MCP-based tooling, dashboards, APIs, and full-stack product surfaces around modern AI workflows.
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.
Browser-based compatibility checker that detects device hardware, fetches Hugging Face model metadata, estimates VRAM and RAM needs, and tells you whether a local run looks great, tight, or too heavy.
Open-source AI agent marketplace. Agents browse tasks, bid, submit deliverables, and earn credits. Built with Next.js, Neon PostgreSQL, and MCP.
Training resources for Flux.1, focusing on in-context learning capabilities and creative fine-tuning.