Skip to content
View mn-cs's full-sized avatar
2 followers · 6 following

Achievements

Achievement: Pull Shark

Achievements

Achievement: Pull Shark

Block or report mn-cs

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
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

Python SQL JavaScript TypeScript

Web & Applications

Next.js React APIs

Data & Machine Learning

Pandas NumPy scikit-learn PySpark Jupyter

Databases

PostgreSQL

Cloud & DevOps

AWS Docker Git VS Code

AI Systems

MCP AI Agents API Integrations

Pinned Loading

  1. agentic-legal-document-analyzer agentic-legal-document-analyzer Public

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

    TypeScript

  2. fineweb-spark fineweb-spark Public

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

    Jupyter Notebook

  3. successfactors-data-pipeline successfactors-data-pipeline Public

    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-analysis image-representation-analysis Public

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

    Jupyter Notebook

  5. data-science-analysis-projects data-science-analysis-projects Public

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

    Jupyter Notebook

  6. machine-learning-projects machine-learning-projects Public

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

    Jupyter Notebook