- Could you introduce yourself and tell us about you? Your current / recent jobs and employers? Previous companies and jobs?
He has over four years of experience in the industry. He is currently working at XXXX as an AI Engineer, where his responsibilities include setting up AI applications, training models, and supporting various AI projects such as voice identification and AI agent design. His day-to-day work involves model development, NLP tasks, database design, and system setup and maintenance, including server maintenance. Before joining his current company, he worked on deep learning projects focused on data prediction and gained experience with OCR products and model iteration projects. This forms the core background of his AI and engineering experience.
- What skill(s) / experience would you self-describe as strongest or specialist in?
His strongest skills are in machine learning, AI algorithms, application development, and deployment. He also has experience using Docker and Kubernetes to deploy applications, with most of his work centered around AI and machine-learning-driven solutions.
- Do you have the lists of key criteria’s according to the clients’ requirements?
He has experience in Python and SQL, and his recent work focused on machine learning, especially deep learning and data analysis. His responsibilities included building machine learning models to predict and analyze data, performing feature selection, and supporting LLM-related projects. In one of the projects, the goal was to set up a GPT-like platform for knowledge management, enabling question-and-answer functions for both internal and external users. For internal use, he helped build a platform using model-based and RAG technology to organize internal files, company rules, and product information so staff could easily access and discuss them. For external use, since the company is in the telecom industry, the platform was designed for customers to ask questions related to their personal account details, remaining data, service fees, and product information such as SIM cards, mobile plans, and device pricing.
