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mn-cs/README.md

Hi, I'm Michael

I build practical AI, software, and data systems using modern web, cloud, database, and machine learning tools.

My work focuses on agentic AI applications, MCP/API integrations, data pipelines, applied machine learning workflows, and distributed computing projects. I enjoy connecting different technologies into complete systems that solve real problems.

Tech Stack

Languages

PythonSQLJavaScriptTypeScript

Web & Applications

Next.jsReactAPIs

Data & Machine Learning

PandasNumPyscikit-learnPySparkJupyter

Databases

PostgreSQL

Cloud & DevOps

AWSDockerGitVS Code

AI Systems

MCPAI AgentsAPI Integrations

Pinned Loading

  1. agentic-legal-document-analyzeragentic-legal-document-analyzerPublic

    AI-assisted contract review — Next.js + a Python MCP server calling Claude, with Postgres.

    TypeScript

  2. fineweb-sparkfineweb-sparkPublic

    FineWeb-Edu dataset analysis using Apache Spark - DSC 232R group project

    Jupyter Notebook

  3. successfactors-data-pipelinesuccessfactors-data-pipelinePublic

    Data pipeline project that collects and analyzes profiles of successful individuals via APIs and web scraping to identify common traits and career patterns.

    Jupyter Notebook

  4. image-representation-analysisimage-representation-analysisPublic

    Comparative analysis of CIFAR-10 image representations (raw pixels, HOG, CNN) using a k-NN classification framework.

    Jupyter Notebook

  5. data-science-analysis-projectsdata-science-analysis-projectsPublic

    Stock and revenue analysis of Tesla and GameStop using Python, data scraping, and visualization

    Jupyter Notebook

  6. machine-learning-projectsmachine-learning-projectsPublic

    Collection of applied machine learning projects covering EDA, NLP, computer vision, and predictive modeling.

    Jupyter Notebook