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RashiD2801/README.md

Rashi Desadla

Architect and AI/ML researcher at NAME Architecture, Paris. Master in AI for Architecture and Business Innovation, IAAC Barcelona.

I design and build AI/ML workflows that solve problems in the AEC industry; from crowd safety and building performance to environmental analysis and robotic fabrication. My work sits at the intersection of spatial thinking and machine learning: I bring an architect's understanding of buildings, cities and data to every model I train.

Currently building NAMELab ; an AI design intelligence platform for NAME Architecture and an automation tool for Encore that generates 3D design options for converting vacant office buildings into residential and mixed-use without demolition.

Professional Work at NAME Architecture

Internal tools built for practice use (code is private.)

NAMELab is an AI platform developed for NAME Architecture to make accumulated studio knowledge accessible and useful during design.

Tool What it does Stack
Studio Image Library CLIP semantic search across 10,000+ architectural images; search by spatial quality, materiality, mood or light. Each image tagged by GPT-4o Vision with 15 architectural attributes. Deployed internally. Python · FastAPI · CLIP · GPT-4o · UMAP · Docker
Design Intelligence Extracts design reasoning from audio recordings, site notes and project documents into a structured knowledge base. Analyses site context and generates calibrated briefs for new projects. Python · FastAPI · LLM · RAG · Docker
Internal LLM Platform Secure multi-stack AI system with separate knowledge bases for material research, project history, RFP writing, journal drafting and prompt generation. Python · RAG · Ollama · Msty.studio
ComfyUI Workflows Image generation and enhancement pipelines calibrated to the studio's visual language. ComfyUI · Stable Diffusion · Checkpoints · loRAs
Encore Automation Automates the generation of 3D design options for Encore; an adaptive reuse system (NAME Architecture consortium) that converts vacant office buildings into residential and mixed-use without demolition. Python · JavaScript · Grasshopper · FastAPI

Projects

Project What it does Stack
Disperse Crowd density estimation from satellite imagery for event safety planning Python · FastAPI · React · Keras · Mapbox GL JS
RetroGrade Building facade retrofit scoring; semantic segmentation, climate data, energy regression, PDF output Python · SegFormer · FastAPI · scikit-learn
Surround PM2.5 air quality prediction from urban land use and ERA5 weather across Krakow; R²=0.85, MAE=6.48 µg/m³ Python · scikit-learn · Google Earth Engine · ERA5
UrbanShade Draw any area in Europe, run a UTCI thermal comfort simulation, test cooling interventions JavaScript · Grasshopper
upcycling-timber CV pipeline for detecting salvageable timber and exporting robot pick-up coordinates Python · OpenCV · Roboflow · ArUco markers
Clay-Create AI-adaptive clay fabrication; depth camera scans tiles and regenerates designs for visual continuity Python · Computer Vision · Robotic Fabrication

Skills

ML / Deep Learning — TensorFlow · Keras · scikit-learn · Hugging Face (SegFormer) · Random Forest · Regression
Computer Vision — OpenCV · Roboflow · ArUco markers · Semantic segmentation · Depth cameras
Backend — Python · FastAPI · REST APIs · Uvicorn
Frontend — React · Vite · JavaScript · Mapbox GL JS · React Konva
Geospatial / Remote Sensing — Google Earth Engine · GeoPandas · Sentinel-2 · ERA5-Land · UTCI simulation
BIM / IFC — IFC parsing · Agentic IFC tools · BIM data pipelines
Fabrication — Robotic arm integration · Grasshopper · Rhinoceros
Data — pandas · NumPy · Jupyter Notebooks · Matplotlib

LinkedIn  ·  Paris / Barcelona

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  1. Clay-Create Clay-Create Public

    Forked from blabha/Clay-Create

    AI-adaptive clay fabrication system; depth camera scans carved tiles and regenerates remaining designs for visual continuity across a shared wall installation

    HTML 1

  2. Disperse Disperse Public

    Satellite imagery + deep learning for crowd density analysis; upload imagery, mark obstructions, and get ML-powered pedestrian flow heatmaps for event safety planning

    JavaScript 1 3

  3. RetroGrade RetroGrade Public

    ML webapp for building facade retrofit evaluation; image segmentation, climate data, energy regression and feasibility scoring output as a PDF report

    Python 1 1

  4. Surround Surround Public

    Correlating urban planning variables (road networks, building density, green cover) with air pollution in Krakow using Google Earth Engine satellite data

    Python 1 1

  5. upcycling-timber upcycling-timber Public

    Computer vision pipeline that detects and measures salvageable wood planks using ArUco markers + Roboflow and exports robot pick-up coordinates for automated timber upcycling.

    Python 1

  6. NAMELab-Public NAMELab-Public Public

    Designed and built end-to-end within NAMELab: a CLIP semantic search system across 10,000+ architectural images with a GPT-4o Vision tagging pipeline classifying each image across 15 architectural …