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chayon20/README.md

๐Ÿ‘‹ Hi, I'm Chayon Kumar Das

AI & LLM Engineer | Agentic AI Systems | Researcher | 2x ICPC Dhaka Regionalist

๐Ÿ“ Dhaka, Bangladesh โ€ข ๐ŸŽ“ B.Sc. in Internet of Things (IoT) & Robotics Engineering (Exp. July 2026) โ€ข ๐Ÿ”ฌ Research Assistant


๐Ÿ“ž Contact Me


๐Ÿ› ๏ธ Tech Stack

Category Technologies
AI, Vision & Agents Transformers, CNNs, Image Segmentation, LangChain, LangGraph, PyTorch, MONAI, TensorFlow, OpenCV
Languages Python, C/C++, JavaScript
Model Optimization Quantization (QAT, PTQ, INT8), Model Pruning, Knowledge Distillation, Mixed Precision
Backend & Web FastAPI, Django, Flask, RESTful APIs, React, Next.js
Databases Vector DBs (FAISS, ChromaDB), MySQL, SQLite
Tools & Cloud Docker, Git, GitHub, GitLab, Linux, CI/CD Pipelines

๐Ÿš€ Featured Projects

๐ŸŒพ An Explainable Quantized Transfer Learning Framework for Multiclass Rice Disease Detection with IoT-Based Soil Monitoring

  • Developed an ensemble deep learning framework achieving 97.5% accuracy for multiclass disease prediction.
  • Integrated explainable AI techniques alongside model quantization to ensure transparency and efficient edge deployment.
  • Engineered a real-time Internet of Things (IoT) ecosystem utilizing an ESP32 hardware stack (NPK, pH, DHT22) for continuous soil health and environmental analysis.

๐Ÿง  Liquid-Semantic Intelligence: A Fluid Framework for Dynamic Visual Reasoning

  • Developed a multimodal AI framework integrating vision backbones, Liquid Neural Networks (LNNs), and LLMs.
  • Implemented feature extraction, LLM-based reasoning pipelines, and adaptive temporal modeling for scalable agentic visual intelligence.

๐Ÿฉบ Skin Cancer Detection System

  • Built a CNN architecture (EfficientNet/ResNet/DenseNet) targeting the HAM10000 dataset.
  • Applied Dynamic Quantization to reduce computational overhead while achieving 98.57% accuracy for optimized mobile deployment.

๐Ÿง  Problem Solving & Competitive Programming

  • ๐Ÿ† 2x ICPC Dhaka Regionalist (2024 & 2025)
  • โœ… Active competitive programmer and Kaggle participant with 1000+ problems solved across Codeforces, LeetCode, and HackerRank.
  • ๐Ÿงฎ Strong foundation in complex algorithmic problem-solving and data structures.

๐ŸŽ“ Education

University of Frontier Technology, Bangladesh B.Sc. in Internet of Things (IoT) & Robotics Engineering ๐Ÿ“… Expected Graduation: July 2026


๐ŸŒŸ Let's Connect!

I am actively seeking fully funded research-based Master's opportunities as well as remote roles in Machine Learning and AI Engineering. Always open to discussing Agentic AI, system optimization, or innovative tech ideas.

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