Zia ul Haq
AI Systems Architect
I am a self-taught computer scientist and technical automation engineer. Currently specializing in developing custom Large Language Models (LLMs), training diffusion neural architectures, and deploying custom workflows that eliminate operational friction.
The Self-Taught Methodology
My career in computer science is built entirely on self-directed study and deep technical exploration. Unbound by legacy educational tracks, I quickly master complex conceptual frameworks and adapt to new technology spaces dynamically.
I view high adaptability and intense curiosity as my primary technical assets. Whether custom-fitting open-source deep learning neural nets or auditing business infrastructure to program clean microservices, I identify blockages and master the precise stack needed to deploy the solution.
Learn, build, scale, repeat.
Core Competencies
I design and construct performant local models, neural generative pipelines, and self-executing automation workflows.
Custom LLM Architectures
Training, fine-tuning, and optimizing Large Language Models (LLMs). Experienced in customizing model weights, applying low-rank adaptation (LoRA), and managing local runtime environments.
Generative Diffusion
Building and refining diffusion neural networks. Meticulously configuring conditional latent paths, pipeline optimizations, and text-to-image/image-to-image generative modeling configurations.
Full-Suite Automation
Streamlining daily computational tasks. Developing scripts, system interfaces, and scheduling patterns to automate manual digital pipelines, reducing hours of work into seconds.
Get in Touch
Send me an inquiry. This interface compiles a verified mail structure to route directly to my secure custom inbox at ziaulhaq@ziaistan.online.