Open to opportunities

Hang User

@hanguser

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AI researcher specializing in deep learning, RL, and efficient models for real-world deployment.

China

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What I'm looking for

I seek roles building and deploying efficient ML/AI models (esp. deep learning, RL, CV, ASR) with strong data pipelines, experimentation, and opportunities to optimize models for real-world or edge deployment.

I am an AI researcher and data scientist focused on building efficient, deployable deep learning systems, with hands-on experience in spatiotemporal models, reinforcement learning, and signal preprocessing. My work includes a lightweight deepfake detection framework using spatiotemporal fusion and knowledge distillation, and reinforcement-learning-based public transport optimization that reduced average travel time by 15% in simulations.

I have applied advanced feature engineering and model design across domains such as hydrological forecasting and speech recognition, achieving strong predictive results and practical improvements (e.g., R scores up to 0.83 and reduced WER for Chinese ASR). I value robust data pipelines, model compression for edge deployment, and experimentation that balances accuracy and computational cost.

Experience

Work history, roles, and key accomplishments

Current

Research Assistant

Current

Monash University

Apr 2025 - Present (7 months)

Developed a lightweight deepfake video detection pipeline by distilling a ViT+3D-CNN spatiotemporal teacher into a binary student network, achieving substantial compression and inference speedups for edge deployment.

Knowledge Distillation Vision Transformer Binary Neural Networks PyTorch Model Compression

AI Intern

Crest Digital Media Pte. Ltd.

Jul 2025 - Aug 2025 (1 month)

Fine-tuned OpenAI's Whisper for Chinese ASR on a 100-hour multi-accent corpus, reducing WER on challenging test sets and improving robustness to noise and speaker variability.

Speech Recognition data preprocessing Whisper Python PyTorch Audio Engineering Hyperparameter Tuning WER Evaluation

Research Assistant

Monash University

May 2025 - Jul 2025 (2 months)

Designed a hybrid routing system combining Dijkstra and PPO with graph representations to optimize public transport; experiments showed ~15% travel-time reduction and 20% fewer unexpected delays.

Reinforcement Learning PPO Simulation Python

Research Project Data Scientist

Monash University

Sep 2024 - Dec 2024 (3 months)

Built wavelet-enhanced CNN-LSTM models for hydrological forecasting across 6+ stations, achieving R scores of 0.71–0.83 for streamflow and 0.56–0.83 for water level predictions.

Wavelets CNN LSTM Python Model Evaluation

Education

Degrees, certifications, and relevant coursework

University of Missouri-Kansas City

PhD , Computer Science

2025 - 2029

Monash University

Master of Artificial Intelligence, Artificial Intelligence

2023 - 2025

Master of Artificial Intelligence program with core coursework in Machine Learning, Deep Learning, Reinforcement Learning, Modeling Discrete Optimization Problems, and Malicious AI.

Zhejiang Chinese Medical University

Bachelor of Medical Information Engineering, Medical Information Engineering

2018 - 2022

Bachelor of Medical Information Engineering with core courses including Data Structures, Computer Organization Principles, Operating Systems, Computer Networks, Embedded System Design and Applications, and Pattern Recognition.