๐ Dhaka, Bangladesh โข ๐ B.Sc. in Internet of Things (IoT) & Robotics Engineering (Exp. July 2026) โข ๐ฌ Research Assistant
- ๐ฑ Phone: +8801782954870
- ๐ง Email: chayon017das@gmail.com
- ๐ LinkedIn: linkedin.com/in/chayon-kumar-das-976157232
- ๐ GitHub: github.com/chayon20
- ๐ Kaggle: kaggle.com/chayondas
- ๐ ICPC: icpc.global/ICPCID/8XWJDIPQPCLW
| 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 |
๐พ 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.
- 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.
- 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.
- ๐ 2x ICPC Dhaka Regionalist (2024 & 2025)
- โ Active competitive programmer and Kaggle participant with 1000+ problems solved across Codeforces, LeetCode, and HackerRank.
- ๐งฎ Strong foundation in complex algorithmic problem-solving and data structures.
University of Frontier Technology, Bangladesh B.Sc. in Internet of Things (IoT) & Robotics Engineering ๐ Expected Graduation: July 2026
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.