
Abid Ali Awan
Data Scientist & Technical Writer
Islamabad, Pakistan

Islamabad, Pakistan
I am a data scientist and technical writer focused on machine learning, natural language processing, and production engineering. I write practical guides, build AI systems, and help tech companies get popular.
My recent work combines LLM applications with modern MLOps patterns such as CI/CD, model serving, and monitoring. I value clear communication, strong execution, and measurable product impact.
Houston, Texas, United States
Global Remote
Global Remote
Global Remote
Global Remote
Global Remote
Global Remote
Islamabad, Pakistan
Staffordshire University
COMSATS Institute of Information Technology
The City School
The City School
Kaggle notebook for fine tuning Qwen3.5 Small.
Three minimal Claude Agent SDK projects from one shot to custom tool agents.
A complete end to end MLOps project pipeline.
Model serving with FastAPI and Redis caching to reduce latency for repeated predictions.
Kaggle notebook for fine tuning the DeepSeek R1 reasoning model.
A Dockerized document Q and A application deployed on Hugging Face cloud.
A simple FastAPI application for machine learning inference.
Automating machine learning testing with GitHub Actions and DeepChecks.
Kaggle notebook for fine tuning Llama 3.1 for text classification.
A beginner project on automating ML training, evaluation, versioning, and deployment with GitHub Actions.
Kaggle notebook for 4 bit QLoRA fine tuning on Mistral 7B.
Hugging Face automatic speech recognition model trained on Common Voice 8 Urdu.
Hugging Face automatic speech recognition model trained on Common Voice Punjabi data.
Hugging Face Space for monocular depth estimation demos.
Hugging Face Space for a Rick and Morty themed chatbot demo.
Recognized by Nova Talent for leadership potential and strong analytical profile.
Mentored a student through development of a Hindi speech recognition project.
Editorial strategy contributed to sustained growth in unique page views.
Validated end to end skills in data management, modeling, and communication.
Demonstrated applied competency in analytics, experimentation, and production coding.
Completed structured R track focused on practical data analysis workflows.
Built solid SQL fundamentals for exploratory and reporting tasks.
Completed broad training path that enabled transition into data science.
Awarded for publishing a high volume of analysis and machine learning notebooks.
Placed in top ten through model ensembling and feature engineering.
Achieved lifetime membership status as a registered engineer with PEC.
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