Hi, I’m Sudipto Chakraborty

Master’s Student Aerospace Informatics (University of Würzburg) Computer Science Graduate | Machine Learning | Software Engineering Würzburg, Germany

I build data-driven and software-intensive systems at the intersection of:

• Machine Learning & Data Science
• AI for Real-World Systems
• Remote Sensing & GeoAI
• Software Engineering (Python, C/C++)

I’m particularly interested in taking ML models beyond theory, building systems that are robust, interpretable, and usable in real environments.

• Foundation Models (e.g., Prithvi EO, Vision Transformers)
• Applied ML pipelines (end-to-end systems)
• Remote sensing + geospatial AI
• Efficient and clean system design

• Python, C/C++, JavaScript
• Git & GitHub
• Linux, Jupyter Notebook

• Regression, Classification, Clustering
• PCA, GMM, Feature Engineering
• Time-Series Analysis
• Model Evaluation & Validation

Libraries: Pandas, NumPy, scikit-learn, PyTorch, Matplotlib

• Remote Sensing & GeoAI
• Predictive Maintenance
• Computer Vision (Foundations)
• Aerospace Data Systems

Repository: Earth-Observation-using-Prithvi-EO-2.0

• Built a full pipeline combining:

  • Prithvi EO 2.0 embeddings (foundation model)
  • Spectral indices (NDVI, NDWI, SAVI, NDRE)
  • PCA + Gaussian Mixture Models (GMM)

• Performed unsupervised crop zone detection from satellite imagery

• Developed a multi-panel visualization dashboard for explainability

• Exported results as GeoTIFF for GIS workflows

Developed at Greenspin GmbH (Würzburg) → Data, imagery, and infrastructure provided → Full pipeline design and implementation done independently

Repository: aircraft-engine-predictive-maintenance

• Built an ML pipeline to predict Remaining Useful Life (RUL)
• Worked with multivariate time-series sensor data
• Prevented data leakage using engine-wise splits
• Compared baseline and tree-based models

• Camera-based system using computer vision
• Focus on real-world deployment constraints
• Ongoing project integrating detection + hardware

• Bachelor’s thesis project
• End-to-end ML pipeline using image processing
• Published in IRJET (2024)

• Earth Observation Models - Internship (Greenspin GmbH)
• AWS Cloud Internship – cloud fundamentals & deployment
• Full-Stack Development Training – React, Node.js
• ESRI ArcGIS Imagery MOOC – remote sensing & GeoAI

I’m currently looking for:

• Working Student / HiWi roles in:

  • Remote Sensing / GeoAI
  • Machine Learning / Data Science
  • Software Engineering
  • Applied AI Systems

I’m especially interested in hands-on roles where I can:

• Build real systems
• Work with experienced engineers/researchers
• Contribute to meaningful projects

• LinkedIn: https://www.linkedin.com/in/sudipto-chakraborty-4a96761b7/
• Email: sudiptopg@gmail.com
• Instagram: @sudiptochakraborty_

Thanks for visiting my profile!