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mindmap
root((Repositories))
π Books
Programming_for_Business
Machine_Learning_For_Business
π Production & Education Tools
instantgrade
Jupyterbook_with_lite_template
resume_website
π€ Core Research & AI Frameworks
brain-ai (BMMA)
hybrid-feature-selection
financial-variable-generation
π Literature-Automation (Next Gen)
LitSynth
βοΈ Helper & Dev Templates
python-project-template
πΈ Projects Hub
Student Projects Hub
| Repository | Description |
|---|---|
| Programming_for_Business | Code + exercises bridging business operations and Python automation. |
| Machine_Learning_For_Business | Applied ML techniques geared toward business decision intelligence. |
| Project | Summary |
|---|---|
| brain-ai (BMMA) | A multimodal AutoML framework orchestrating feature-fusion, model search, and adaptive evaluation across heterogeneous data β ideal for research and production. |
| projects/core-research/brain-ai | Local workspace layout for brain-ai containing experiment notebooks, adapters, and deployment recipes. |
| hybrid-feature-selection | Hybrid subset selection + importance ranking for explainable ML pipelines. Combines statistical and model-based methods for robust feature curation. |
| financial-variable-generation | Automated computation of financial ratios and technical indicators from company data and stock history β useful for quantitative finance and analytics pipelines. |
| projects/core-research/research_management_system | Research management & RAG system (LitSynth / research-management-system) with ingestion pipelines, provenance tracking, and citation-graph tools for reproducible literature synthesis. |
| Project | Summary |
|---|---|
| instantgrade | Automated evaluation framework for Python notebooks and Excel assignments β supports education workflows, grading, and feedback generation. |
| Jupyterbook_with_lite_template (v2) (Live demo) | A unified template (version 2) combining JupyterLite & JupyterBook with inline interpreter + Google Colab launchers β ideal for sharing tutorials, books, or interactive content. |
| website | Personal portfolio & academic website repository. |
| Template | Purpose |
|---|---|
| python-project-template | Minimal, opinionated Python starter: structure + tooling to begin new projects cleanly. |
| resume_website | Personal resume/website generator built with modern UI (TypeScript), for quick online presence setup. |
| projects/personal-brand/resume_website | Local template and configuration for generating rich resumes and portfolio pages from structured YAML/JSON metadata. |
| projects/tools/jupyterbook2_with_lite_template | Local JupyterBook + JupyterLite template (v2) with example content, launchers and CI-ready build scripts for distributing interactive books. |
| Project | Status | Description |
|---|---|---|
| LitSynth | π Will supersede systematic-reviewpy | RAG + agentic flows for literature triage, synthesis, and citation-graph intelligence β aiming to streamline research workflows and knowledge synthesis. |
| Repository | Description |
|---|---|
| Student_Projects_Hub | Repository for student ML submissions and project assignments. |
These are projects I'm actively developing on GitHub β focused on scalable ML systems, reproducible research, and production-ready tooling that bridge research and applied data science.
| Repository | Status & Focus |
|---|---|
| financial-variable-generation | Actively expanding dataset pipelines and indicator libraries for quantitative finance research and backtesting. Outputs structured features, handles corporate events, and supports time-aware leakage controls. |
| LitSynth | Rapidly iterating on RAG + agentic flows for literature triage, citation graph extraction, and automated synthesis for systematic reviews. Great for accelerating research workflows. |
| resume_website | Ongoing work to improve generated resume content, richer project metadata, and exportable PDF/HTML resume for applied roles. |
| brain-ai (BMMA) | Core repo for multimodal AutoML β adding adapters for new modalities, evaluation suites, and deployment patterns for reproducible experiments. |
| instantgrade | Enhancing automated evaluation for educational artifacts (notebooks, spreadsheets) with feedback generation and rubric-driven scoring. |
If you want to collaborate, contribute, or request a demo for any of these, open an issue or reach out on LinkedIn/email β I'm prioritizing contributions that push projects toward production-ready research artifacts.
| Area | Invitation |
|---|---|
| π¬ Multimodal AutoML | Contribute new modality adapters or evaluation hooks to brain-ai. |
| π§ Explainability & Feature Engineering | Extend hybrid-feature-selection with new heuristics or domain-specific logic. |
| π Literature Automation | Help design prompts & citation-graph embeddings for LitSynth. |
| π Educational Content & Books | Propose business-case examples or contribute chapters to the book repos. |
| π Templates & Starters | Suggest workflow improvements for python-project-template or resume_website. |
| π§βπ Student Projects Hub | Mentor or organize contributions for the Student_Projects_Hub β see Student_Projects_Hub. |
βThe best way to predict the future is to build it β but let's make sure it's a future where technology serves humanity and the planet.β
Building the future, one commit at a time ππ±


