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πŸ‘¨β€πŸ’» About Me

Hi, I'm Archismwan Chatterjee β€” a passionate Machine Learning engineer and Full Stack Web Developer.

With expertise in Generative AI, Classical ML Algorithms, Neural Networks, Deep Learning, Computer Vision, Remote Sensing, Geospatial Analysis, and Full-Stack Web Development, I thrive on solving complex problems and building innovative solutions.

My experience spans from developing AI-powered applications and ML models to designing and deploying full-stack web solutions seamlessly. Always eager to learn, grow, and adapt, I aim to leverage technology to make a meaningful impact.


πŸ“« Reach me: archismwancmail@gmail.com
🌐 Portfolio: archdev.netlify.app
πŸ˜„ Pronouns: He/Him


πŸ› οΈ Tech Stack & Skills

πŸ‘¨β€πŸ’» Programming Languages

C C++ Java Python R PHP SQL

🌐 Frontend Development

HTML5 CSS3 TailwindCSS Bootstrap JavaScript React Next.js Astro Vite

🧠 Machine Learning & AI

PyTorch TensorFlow HuggingFace scikit-learn Pandas NumPy LangChain QLoRA Prompt Engineering

πŸ›°οΈ Geospatial & Remote Sensing

QGIS GDAL Rasterio SNAP Evalscript

πŸ”™ Backend & DevOps

Node.js Express Django FastAPI Flask Supabase Redis Nginx Docker

☁️ Cloud & Platforms

Google Cloud AWS Azure Firebase

🧠 Databases

PostgreSQL MySQL SQLite MongoDB GraphQL NeonDB


πŸ“š Research Publications

  • πŸ›°οΈ Clustering Based Erosion Analysis of Kaziranga National Park Boundary for Flood Mitigation Planning πŸ“Œ IEEE India Geoscience and Remote Sensing Symposium (InGARSS), 2025 β€” IEEE Xplore πŸ”— View Publication πŸ› οΈ Tech: Python, Remote Sensing, Deep Learning, Unsupervised Clustering, GIS

  • 🧠 A New Hybrid Bagging Ensemble Machine Learning Model to Identify Parkinson’s Diseases Based on Voice Data πŸ“Œ International Conference on Computational Intelligence and Networks (CINE), 2024 β€” IEEE Xplore πŸ”— View Publication πŸ› οΈ Tech: Python, Tonal Analysis, H-Bagging, M-Bootstrap, NaΓ―ve Bayes, KNN, Decision Trees


πŸ“Š GitHub Stats


πŸ† GitHub Trophies

🐍 My Contributions

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