.gif)
class GeospatialScientist:
"""
╔══════════════════════════════════════════════╗
║ Athithiyan M R — Profile ║
╚══════════════════════════════════════════════╝
"""
name = "Athithiyan M R"
role = "Geospatial AI Scientist"
location = "Tamil Nadu, India 🇮🇳"
org = "Auroville Consulting"
experience = "4+ years"
expertise = [
"🛰️ Satellite Remote Sensing (Sentinel-2, Landsat, MODIS)",
"🤖 Deep Learning — U-Net, CNN, SegFormer, Semantic Segmentation",
"🌿 Land-Use, LULC & Climate GIS Analysis",
"📡 Google Earth Engine & PostGIS",
"🌐 Full-Stack Geospatial Web Apps (FastAPI + Streamlit + Leaflet)",
"🔁 MLOps — Docker, GitHub Actions, CI/CD Pipelines",
"🧩 MCP + Claude AI — Geospatial AI Agent Development",
]
currently = "Mapping Blue-Green Networks for TN State Planning Commission"
seeking = "Remote roles · Climate Tech · GeoAI Research · Conservation Tech"
fun_fact = "I've processed 15,000+ satellite scenes 🌍"
mission = "Turning raw pixels into policy-ready climate intelligence"
Auroville Consulting × TN State Planning Commission
scope: State-level spatial planning
data: 15,000+ Sentinel-2 scenes
layers: 40+ integrated geospatial layers
model: 18-criteria ecosystem services
output: District intervention maps (nano → mega)
impact: Embedded in TN spatial planning framework |
polygons: 90,438 across 38 TN districts
area: 245,569 hectares mapped
model: Semantic segmentation (10m bands)
labels: Descals et al. (2023) training data
accuracy: Validated with field ground-truth
tool: Collaborative live verification app |
|||||||||||||||
model: U-Net semantic segmentation
input: Sentinel-2 @ 10m resolution
output: Built-up area maps + UHI index
use_case: Urban heat island + vulnerability
districts: Chennai Metropolitan Area |
focus: Villupuram district (solar suitability)
method: Multi-criteria spatial analysis (MCE)
output: Policy brief + interactive maps
impact: Integrated into TN energy planning |
|||||||||||||||
classification: LULC change detection (2019–2023)
data: Sentinel-2 + Landsat imagery
validation: Ground truth + field verification
output: Interactive govt. department map
use_cases: 6 land-use categories modelled |
|
| Domain | Tools / Frameworks | Proficiency |
|---|---|---|
| Satellite Remote Sensing | Sentinel-2, Landsat, MODIS, Google Earth Engine | ██████████ Expert |
| Deep Learning / GeoAI | U-Net, PyTorch, SegFormer, CNN, Segmentation | █████████░ Advanced |
| LULC & Change Detection | QGIS, ArcGIS Pro, GDAL, Rasterio | ██████████ Expert |
| Geospatial Python | GeoPandas, Shapely, Fiona, Leafmap, EarthPy | ██████████ Expert |
| Web GIS & Dashboards | Streamlit, Leafmap, Folium, Leaflet.js, FastAPI | █████████░ Advanced |
| MLOps & DevOps | Docker, GitHub Actions, CI/CD, Linux | ████████░░ Proficient |
| Spatial Databases | PostGIS, PostgreSQL, GeoJSON, GeoParquet | ████████░░ Proficient |
| Climate Analytics | UHI, Carbon Sequestration, BGI, Ecosystem Services | █████████░ Advanced |
| AI Agent Development | MCP, Claude AI, LangChain, Tool-use LLMs | ███████░░░ Growing |
🛰️ GIS & Remote Sensing
🤖 Machine Learning & AI
🐍 Geospatial Python
🌐 Web & Backend
🗄️ Database & DevOps
┌──────────────────────────────────────────────────────────────────────────────┐
│ ATHITHIYAN M R · CAREER ARC │
└──────────────────────────────────────────────────────────────────────────────┘
2026 ◉─────────────────────────────────────────────────────────────────────
│ 🌿 Blue-Green Infrastructure Framework [ ONGOING ]
│ Tamil Nadu State Planning Commission
│ 15,000+ Sentinel-2 scenes · 40+ GIS layers · 18-criteria model
│
│ 🌴 Coconut Plantation Mapping (U-Net + Sentinel-2)
│ 90,438 polygons · 245,569 ha · 38 districts mapped
│
│ 🏙️ Chennai Urban Climate Analysis
│ Deep Learning built-up extraction · Heat Island mapping
│
│ 🤖 MCP + Claude AI Geospatial Agent Development
│ Building AI-powered GIS automation pipelines
│
2025 ◉─────────────────────────────────────────────────────────────────────
│ 🗺️ Kallakurichi Land Suitability Dashboard
│ Multi-criteria LULC mapping · Streamlit + Leafmap
│
2024 ◉─────────────────────────────────────────────────────────────────────
│ ☀️ SET-TN · Sustainable Energy Transformation
│ Solar suitability · TOU tariff modelling · Published report
│
2022 ◉─────────────────────────────────────────────────────────────────────
│ 📊 Joined Auroville Consulting · Geospatial Data Analyst
│ 🎓 Master in Data Science · GUVI (IIT Madras)
│
──────┘
| 🧠 Area | 📌 Focus |
|---|---|
| GeoAI Foundation Models | Google & Tessera embeddings for satellite image segmentation |
| Transformer Backbones | Improving U-Net performance with Swin-T / SegFormer |
| Climate Analytics | Urban heat island + blue-green network synergies |
| Workflow Automation | N8N + MCP pipelines for automated geospatial data ingestion |
| Dashboard Design | Google/NASA-standard interactive geospatial dashboards |
| MCP + Claude AI | Building geospatial AI agents with Model Context Protocol |
| 3D Visualization | Deck.gl + Cesium for immersive geospatial storytelling |
╔══════════════════════════════════════════════════════════════════╗
║ 🟢 ACTIVELY SEEKING REMOTE ROLES ║
╠══════════════════════════════════════════════════════════════════╣
║ ║
║ ✅ Geospatial AI / GeoAI Researcher ║
║ ✅ Remote Sensing Data Scientist ║
║ ✅ Climate Tech Analyst / Environmental Data Scientist ║
║ ✅ Earth Observation Engineer ║
║ ✅ Conservation Technology Specialist ║
║ ✅ Open-Source GIS Developer ║
║ ║
║ 🌍 Available for: Full-time · Contract · Consulting ║
║ ⏰ Timezone: IST (UTC+5:30) · Flexible overlap ║
║ 🤝 Open to: NGOs · Think Tanks · Climate Tech · Research ║
║ ║
╚══════════════════════════════════════════════════════════════════╝
Open to collaborations in Geospatial AI, Climate Analytics, Remote Sensing, and Open-Source Environmental Tools. Actively seeking fully remote roles with climate-tech organizations, NGOs, think tanks, and research institutes.
