https://github.com/riponcm/riponcm
https://github.com/riponcm/riponcm
Last synced: 4 days ago
JSON representation
- Host: GitHub
- URL: https://github.com/riponcm/riponcm
- Owner: riponcm
- Created: 2023-07-29T14:37:21.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2026-05-09T22:39:21.000Z (about 1 month ago)
- Last Synced: 2026-05-09T23:21:48.252Z (about 1 month ago)
- Size: 158 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
[](https://www.linkedin.com/in/engr-ripon/)
[](mailto:riponce.buet@gmail.com)
[](https://scholar.google.com/citations?user=7-QY6VEAAAAJ&hl=en)
[](https://www.researchgate.net/profile/Ripon-Malo)
[](https://www.kaggle.com/riponce)
---
## About Me
```python
from dataclasses import dataclass
from typing import list
@dataclass
class Researcher:
name: str = "Ripon Chandra Malo"
role: str = "PhD Researcher @ University of Utah"
field: str = "Geotechnical Engineering + Artificial Intelligence"
research_focus: list[str] = (
"Granular Materials",
"Scientific Machine Learning",
"AI for Geotechnics",
)
background: str = "M.Sc. Civil (Geotechnical) Engineering — BUET, Bangladesh"
building: str = "projectmem — local-first memory for developer repos"
goal: str = "Revolutionize geotechnical analysis with ML & data science"
open_to: list[str] = (
"Research collaboration",
"ML projects",
"Open source",
)
ripon = Researcher()
```
---
## Research Focus
**Geotechnical AI**
Applying machine learning and deep learning to granular material behavior, soil classification, and civil infrastructure safety.
**Scientific Machine Learning**
Physics-informed neural networks and data-driven models that respect engineering constraints — not just black-box predictions.
**Data Science for Engineering**
Building interactive tools and web applications to make geotechnical data analysis accessible, visual, and powerful.
**Developer Tools**
Building [`projectmem`](https://github.com/riponcm/projectmem) — Local-first memory layer for AI coding agents — your AI starts experienced, not amnesiac..
---
## Currently Building
**projectmem — Local-first memory layer for AI coding agents**
Your AI coding agent forgets everything between sessions. **projectmem fixes that.**
It captures issues, attempts, decisions, and cross-project library gotchas locally —
so Claude Desktop, Cursor, Antigravity, and Codex start every session *experienced*,
not amnesiac.
100% local · no cloud · no telemetry · MIT licensed
[**→ projectmem.dev**](https://projectmem.dev) ·
[GitHub](https://github.com/riponcm/projectmem) ·
[`pip install projectmem`](https://pypi.org/project/projectmem/)
| Project | What it does | Status |
|---|---|---|
| **[projectmem](https://github.com/riponcm/projectmem)** | Local-first memory for repos. | Working |
| **Geotechnical ML Tools** | ML-powered analysis tools for geotechnical engineering workflows | Research |
| **Scientific ML Experiments** | Physics-informed models for granular material simulation | Learning |
---
## Tech Stack
**Core Languages**
**ML & Data Science**
**Web & Tooling**
---
## GitHub Stats
---
## Let's Connect
I'm always open to research collaboration, ML project discussions, or just talking about geotechnical engineering and AI. Reach out any time.
[](https://www.linkedin.com/in/engr-ripon/)
[](mailto:riponce.buet@gmail.com)
[](https://scholar.google.com/citations?user=7-QY6VEAAAAJ&hl=en)
