Ripon Chandra Malo Claim this profile

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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()

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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 — Local-first memory layer for AI coding agents — your AI starts experienced, not amnesiac..

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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 ·
GitHub ·
pip install projectmem

| Project | What it does | Status |
|---|---|---|
| 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 |

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Tech Stack

Core Languages

!Python
!TypeScript
!HTML5
!MATLAB
!LaTeX

ML & Data Science

!TensorFlow
!NumPy
!Pandas
!scikit-learn
!Jupyter

Web & Tooling

!Next.js
!Vite
!Node.js
!MySQL
!VS Code

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GitHub Stats

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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.


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