Tan Wei Ming

AI powered solutions, especially Computer Vision and Audio Engine, LLM.

Full Stack Engineer / ML Engineer

08/2024 - 04/2025

JobAutoTech

JobAutoTech is a remote-first company that automates job applications using large-scale web scraping and smart bots. It streamlines job hunting through AI-powered tools and backend automation.

• Developed end-to-end job scraping pipelines from scratch using Python and modern scraping frameworks and bypassed Imperva and reCAPTCHA v3. 
• Engineered and deployed automated job application bots, integrating advanced filtering and user customization features.
• Built and maintained LLM based modules for cover letter generation, resume matching, smart job selection and question-answering. 
• Designed backend systems and APIs in Golang, enabling scalable microservices architecture. Handled DevOps tasks: CI/CD workflows, Docker containerization, and deployment on cloud platforms. 
• Collaborated with product and UX teams to implement full-stack features across web tools and internal dashboards. 

03/2023 - 02/2025

ONLY BRIGHT

• Assisted in the development of a lip sync model alongside senior AI engineers, focusing on the design and implementation of the system's pre-processing component.
• Integrated Voice Activity Detection into the system, simulating lyrics information based on recognition results. 
• Developed a system capable of classifying input audio files based on the age and sex of the speaker. 
• Collaborated with team members to create a system for "Talking Avatars" enhancing the performance of Voice Activity Detection (VAD).

• 05/2021 - 03/2023

• Developed a Car Plate Recognition System utilizing YOLO framework, resulting in a 10% improvement in recognition accuracy. 
• Constructed strong OCR models against noises, achieving a 10% increase in character classification accuracy. 
• Implemented fashion neural networks utilizing reinforcement learning techniques, resulting in an 8.6% improvement in performance. 
• Collaborated with senior developers to construct an unmanned autonomous system detecting cars and pedestrians. 

09/2020 - 02/2021

MLin

• Deployed validated algorithms to RTB system and developed techniques for monitoring and visualizing the performance of all deployed algorithms. 
• Worked with staff engineers to ensure accurate integration of machine learning models to firm platforms. 
• Developed high impact capabilities in data science and machine learning, and applied them to create new data-driven insights. 
• Created innovative and systematic investment signals and strategies based on a rigorous, peer-reviewed research process.

Master in Machine Learning

2017 - 2020

Tun Hussein Onn University