YanQi Lai

I am an Artificial Intelligence undergraduate with a strong technical foundation and hands-on experience developing machine learning, deep learning (CNNs, LSTMs), and reinforcement learning pipelines. Beyond model development and data analysis, my strengths lie in structured problem-solving, algorithmic thinking, and clear technical communication.
What Drives Me
I am driven by bridging the gap between theoretical AI architectures and practical autonomous decision-making. I enjoy breaking down complex, high-dimensional problems into reliable systems that can adapt dynamically to uncertain real-world constraints.
Key Project Highlight

• Autonomous UAV Flight Micro-Simulator (Deep Q-Network): Developed an autonomous navigation agent using a modified Flappy Bird environment to simulate Unmanned Aerial Vehicle (UAV) obstacle avoidance. Designed custom state representations, implemented epsilon-greedy policy exploration, and optimized reward shaping to train the DQN agent to navigate restricted corridors autonomously and reliably.
  Communication & Interpersonal Strengths
• Trilingual proficiency (English, Mandarin, Malay) with experience documenting high-level technical sessions as an AI rapporteur.
• Proven client-facing background across fast-paced administrative and sales environments, making it easy to collaborate cross-functionally and communicate findings clearly to non-technical stakeholders.