I'm an AI Engineer based in Japan, specializing in the development of real-world AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) systems, Python, and Point Cloud Processing. My work spans a diverse range of solutionsโfrom intelligent document Q&A systems to automated 3D model generation pipelines. Iโm currently focused on building end-to-end GenAI applications, leveraging tools like ChatGPT, LangChain, and custom-built components to deliver scalable, production-ready solutions.
- ๐ Build custom Retrieval-Augmented Generation (RAG) pipelines using ChromaDB, Pinecone, or Qdrant
- ๐ง Develop ReAct Agents from scratch (no framework) using Python and OpenAI
- ๐ Design full-stack AI-powered web apps using Streamlit or FastAPI
- ๐งฑ Process and analyze 3D point cloud data for industrial applications (e.g., stockpile volume estimation)
- ๐ Secure deployments with Docker,
.env
handling, and Azure
Python | Java | Pytorch | TensorFlow |
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ChatGPT | Gemini | LLama | Claude | Mistral |
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LlamaIndex | LangChain | CrewAI | LangGraph |
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Qdrant | ChromaDB | Pinecone | Weaviate | MySQL | PostgreSQL | Neo4j |
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Gradio | Streamlit |
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OpenCV | Open3D | Point Cloud | OCR | YOLO | Object Detection |
Object Segmentation |
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Docker | Git | Linux | CircleCI |
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Azure | GCP | AWS |
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- ๐ง ReAct-Agent-from-Scratch: Framework-free ReAct agent with calculator, Wikipedia, web search, and GUI via Streamlit.
- ๐ SecureDockerEnv: Secure Docker secrets handling for
.env
credentials. - ๐ง LLM Knowledge Extractor: Extract Q&A from messy PDFs using LangChain + Azure OpenAI.
-
Evaluation of Transfer Learning for Human Activity Recognition among Different Datasets
IEEE PICom | International Conference on Pervasive Intelligence and Computing (2019) -
Human Activity Recognition using Earable Device
UbiComp/ISWC | ACM International Joint Conference on Pervasive and Ubiquitous Computing (2019) -
Exploring Human Activities Using eSense Earable Device
ABC | Activity and Behavior Computing (ABC) (2020)
Visit my portfolio and AI blog:
https://shafiqulai.github.io
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