Select Projects

• amadabhu.github.io

  shipped

  This site, a Jekyll-flavored personal site with a small Python build pipeline so it renders without Ruby.

  • Jekyll
  • Liquid
  • Python
  • Markdown
  • GitHub Pages
  • GitHub ↗

  The site you're reading. Templates are Jekyll-flavored Liquid + Markdown, but the build runs through a small Python pipeline (scripts/build_site.py) so I can iterate locally without installing Ruby. GitHub Actions runs the same Python build on push and deploys the artifact to Pages.

• WIFX

  shipped

  Women's International Football Rankings — analytics dashboard live at wifxfootball.com.

  • Python
  • scikit-learn
  • XGBoost
  • PyTorch
  • Hugging Face Spaces
  • GitHub Actions
  • Live site ↗

  A composite-metric ranking system for women's football across players, club teams, national teams, and confederations.

  Match predictions are produced by :
  - Poisson goal models
  - Gradient-boosted trees
  - Small neural nets
  - Ensemble models
  

  Then, selected by 5-fold time-series CV log-loss high-confidence calls require agreement across a 12-model consensus panel split into distinct model families.

• notebook2ppt

  public

  Convert a Jupyter notebook into a PowerPoint deck — headings become slides, figures and tables flow into the layout.

  • Python
  • nbformat
  • python-pptx
  • Pillow
  • pytest
  • GitHub ↗

  nbconvert --to slides produces reveal.js HTML, which is great in the browser and useless when somebody on the other side of the org wants a .pptx they can edit. notebook2ppt fills the gap: read the notebook you already wrote, write a real PowerPoint file.

  The mapping is heading-driven — # and ## markdown headings open slides; markdown bodies, matplotlib PNGs, pandas HTML tables, and stream outputs become typed Blocks placed by a python-pptx renderer. A two-stage pipeline (notebook → IR → .pptx) keeps extraction independent of layout, so swapping in a different render target later (Google Slides, reveal.js, plain HTML) doesn't require redoing the parsing work.

  Ships with a CLI (notebook2ppt analysis.ipynb -o deck.pptx), a Python library, three example notebooks with real baked-in outputs, and a small pytest suite.

• Enterprise RAG

  shipped

  A configurable, containerized RAG stack designed for enterprise deployment.

  • Python 3.12
  • Chainlit
  • LangChain
  • AWS Bedrock
  • PostgreSQL
  • Docker
  • Helm
  • Repo (private)

  A two-service RAG system: a Chainlit chat UI plus REST API, and a separate embedder pipeline that loads, extracts, chunks, and stores documents.

• DataStructuresAlgorithms

  public

  A practice repository working through CLRS chapters 6–26 — every classic data structure and algorithm as a compact, runnable Python file.

  • Python
  • stdlib only
  • GitHub ↗

  23 single-file implementations spanning CLRS chapters 6–26: linked structures, hash tables, BSTs and red-black trees, B-trees, Fibonacci heaps, van Emde Boas trees, sorting (heap / quick / counting / bubble), DP and greedy, disjoint-set forests, MST (Kruskal), shortest paths (Dijkstra and Floyd-Warshall), and Edmonds-Karp max flow.

  Every file is self-contained, uses only the standard library, and runs as a script to print a small demo. The README has a complexity table sorted by Big-O plus per-file ASCII diagrams.

• Toolbox

  public

  Snowflake ingest and parser utilities — the small-but-useful kind.

  • Python
  • SQL
  • Snowflake
  • GitHub ↗

  A grab bag of Python utilities for getting messy data into Snowflake and back out in a shape something else can use. The kind of code that doesn't make a portfolio but makes the rest of the work tractable.