Responsibilities:- Collect/prepare datasets for training/validation- Train classification, object detection, face recognition models- Use different techniques to improve the model performance- Optimize trained models for faster inference on the target device- Created and tested anti spoofing model for facial recognition usage- Using FLUX1. schnell model to do image synthesis

Artifical Intelligence and Reinforced Learning for Multiple Agents- Utilized Python for developing and coding the AI agents' behavior learning algorithms.- Designed simulation environments for AI agents to interact with and learn from.- Applied analytical skills to optimize and fine-tune the self-learning systems.- Created intelligent solutions that autonomously program AI agents, eliminating manual coding.- Gained proficiency in AI and reinforcement learning concepts through practical application.- Contributed to the intelligentization of systems with potential civilian and military applications.- Learn and applied MADRL Algorithms

UAT Expertise: Proficient in User Acceptance Testing (UAT) to ensure product quality and user satisfaction.Bug Detection: Skilled in identifying and documenting software defects and inconsistencies to improve product reliability.Agile Methodology: Experience in Agile practices, including Scrum, to enhance team coordination and productivity.Test Planning: Developed and maintained comprehensive test plans and test cases to ensure thorough testing.Automated Testing: Wrote the codes for script for automation testing with 3rd party software.Quality Assurance: Contributed to improved quality assurance and adherence to best testing practices.Cross-Functional Collaboration: Worked closely with cross-functional teams to deliver a seamless user experience.