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MMuhammad.dev

About Me

The Goat

I specialize in machine learning, data science, and analytics — from designing and deploying deep learning and agentic AI systems, to building end-to-end data pipelines, to putting together BI dashboards that support real decision-making. I'm comfortable owning a project from raw data through a trained model to a stakeholder-facing report, and I default to documenting preprocessing and evaluation decisions clearly enough that the results hold up to scrutiny.

I'm a Computer Science student (3.64 CGPA, Dean's List 2023-2025) who spends most of my time in the space between machine learning and data analytics — training models, wrangling messy datasets into something a pipeline can trust, and turning the output into dashboards someone actually reads. I care about the parts most people skip past: whether a model's mistakes are the safe kind, whether a dataset was sourced honestly, whether the preprocessing steps are documented well enough that someone else (often future me) can reproduce them. Outside of coursework, I've spent a fair number of weekends in hackathons building things end-to-end under a ticking clock.

What I do

Machine Learning & AI

Building end-to-end ML pipelines from raw data through model training, evaluation, and iteration — including deep learning models for computer vision and behavioral biometrics.

Data Analytics & Visualization

Cleaning and analyzing large datasets using Python and SQL, and translating findings into interactive Power BI and Tableau dashboards that support real business decisions.

Agentic AI & Automation

Designing and building multi-agent AI systems that integrate live APIs and automate end-to-end workflows — turning manual, multi-step processes into autonomous pipelines.

NLP & Transformer Models

Applying transformer-based models like DistilBERT for large-scale text classification and sentiment analysis, with hands-on experience building preprocessing pipelines for unstructured data.