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Abid Ali Awan on Muck Rack

Abid Ali Awan

Verified
(He/Him)
Islamabad
As seen in: DataCamp, KDnuggets, NexusML, Medium, Flipboard, The Code Project, Towards Data Science, Analytics Vidhya, Towards AI, Firecrawl, The Entrepreneurial Way with AI, Geek Culture Medium
Covers:  Data Science, Machine Learning, AI, Data Analysis, Data Engineering, BI, Career, Natural Language Processing.
Doesn't Cover: Politics, Promotional, Selling Hype
Building ML systems. Writing about them.

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Abid Ali Awan’s Biography

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I am a certified data scientist professional who loves building machine learning solutions. Currently, I am focusing on writing and editing technical content on machine learning, data science, and AI technologies. I hold a Master's degree in Technology Management and a bachelor's degree in Telecommunication Engineering. My vision is to build an AI product using a graph neural network for students struggling with mental illness.

Articles

Run Muse Glimmer for Local Vibe Coding with llama.cpp, DFlash, and Pi

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By Abid Ali Awan Verified
| KDnuggets Verified
By, KDnuggets Assistant Editor on August 21, 2026 in Artificial Intelligence Run Muse Glimmer locally on an RTX 3090 GPU using llama.cpp, DFlash speculative decoding, and Pi for fast, private, agentic AI coding. Muse Glimmer is gaining attention in the local AI community and is being compared with Qwen's 27B-class models. In many cases, it is performing better, especially for local coding and agentic workflows.
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DeepSeek Harness Tutorial: Getting Started with the Most Popular Open-Source AI Agent

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By Abid Ali Awan Verified
| DataCamp
Plugin-based architecture: Most parts of the agent can be extended or replaced through plugins, which makes it easier to customize your setup. Local Web UI: Running dsh web gives you a browser-based interface where you can manage models, sessions, workspaces, settings, and agents. Python SDK: The deepseek-harness-sdk lets you run Harness agents directly from Python applications, scripts, tests, and automation workflows. Multiple model providers: You are not limited to DeepSeek models.
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Run Qwen3.8-27B as a Local AI Coding Agent in Just 3 Commands

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By Abid Ali Awan Verified
| KDnuggets Verified
Download Ollama, pull and serve Qwen3.8-27B, and launch it with OpenCode using just three command lines. Running a capable 27B model as a local AI coding agent used to mean setting up inference servers, configuring endpoints, and connecting everything manually. With Qwen3.8-27B, Ollama, and OpenCode, the process is now remarkably straightforward. Qwen3.8-27B is one of the local models I have been most excited to try.
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Interview

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What was your first job as a journalist?

To write about machine translation.

How is social media changing news?

People are following hype and forgetting the facts

What tools and software do you use to do your job?

Grammarly, You.com, Google Docs, and Wordpress