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Fourth-year Artificial Intelligence student with hands-on experience in Machine Learning, Deep Learning, Computer Vision, and Large Language Model (LLM) applications

ผู้มีความสามารถ

Bangkokเป็นสมาชิกตั้งแต่ 2 กันยายน 2569

PythonMachine LearningDeep LearningComputer VisionLarge Language Models (LLMs)Retrieval-Augmented Generation (RAG)Prompt EngineeringSemantic SegmentationVector SearchPyTorchOpenCVFastAPIYOLOv11Segmentation Models PyTorchRAGASMongoDBMongoDB AtlasHexagonal ArchitectureModel Context Protocol (MCP)pypdfium2

จ้างคนนี้

ส่งข้อเสนองานโดยตรงถึงผู้สมัครนี้

PythonMachine LearningDeep LearningComputer VisionLarge Language Models (LLMs)

เกี่ยวกับ

Fourth-year Artificial Intelligence student with hands-on experience in Machine Learning, Deep Learning, Computer Vision, and Large Language Model (LLM) applications. Experienced in developing production-ready AI systems, including Retrieval-Augmented Generation (RAG), intelligent document processing, and privacy-preserving computer vision solutions. Strong background in Python development, FastAPI, MongoDB, and software architecture with practical industry experience through an AI Research Engineer internship.

ประสบการณ์

AI Engineer (NLP) (Co-op Internship) at iBotnoi Company Limited (2025-08 – 2025-11)

Researched and developed an intelligent financial assistant chatbot utilizing Retrieval-Augmented Generation (RAG) and Model Context Protocol (MCP) to enhance information retrieval and operational efficiency.
Integrated Large Language Models (LLMs) including Llama and Gemma with MongoDB Atlas Vector Search for structured data retrieval and real-time external data mapping.
Designed and maintained robust system pipelines utilizing FastAPI, Hexagonal Architecture, and advanced Prompt Engineering.
Automated evaluation pipelines using the RAGAS framework and LLM-as-a-Judge methodologies to benchmark system response quality for Thai and English inputs.