# Chi-Feng Liu > Software Engineer @ Clear Street Location: New York, New York, United States Profile: https://flows.cv/chifengliu ## Work Experience ### Software Engineer @ Clear Street Jan 2025 – Present | New York, New York, United States ### Audio Machine Learning Engineer @ FinOptima Solutions Jan 2025 – Jan 2025 | 美國 紐約州 紐約 ### Machine Learning Engineer Intern @ FinOptima Solutions Jan 2025 – Jan 2025 | 美國 紐約州 紐約 • Led end-to-end development of a speech deepfake detection system leveraging wav2vec audio encoder and a Mamba state space classifier model; achieved 6.5% Equal Error Rate on an unseen dataset, reaching state-of-the-art performance and enabling financial institutions to proactively detect fraudulent calls in customer support operations. • Architected and deployed a real-time speech emotion recognition system by modifying wav2vec and applying post-training regularization (batch-level variance maximization, dimension-level covariance minimization), improving six-class accuracy to 88%. Enabled quantification of customer emotional states, enhancing agent empathy and adaptive support to boost customer satisfaction and team professionalism. • Built Digital signal processing data augmentation pipelines to simulate diverse recording conditions, ran W&B hyperparameter sweeps, and deployed the system on AWS/GCP for scalable, robust performance. • Analyzed dataset domain shift through signal processing techniques and comparative experiments, generating insights into cross-dataset robustness and failure modes for fraud detection. ### Research Trainee @ New York University Jan 2024 – Jan 2025 • Designed and implemented a real-time control and perception pipeline for the Unitree quadruped robot, integrating 3D point cloud processing and height map generation to support terrain-aware locomotion and future autonomous navigation. • Developed transformer-based motion and exploration models for metric-free topological mapping, achieving a 95.1% exploration rate via imitation learning in feature space • Utilizing few-shot prompting to empower a QA agent to autonomously generate code and query scene-level data from images for Embodied QA tasks. ### Research Assistant @ Institute of Information Science, Academia Sinica Jan 2023 – Jan 2023 | Taipei, Taiwan Reinforcement Learning and Games Lab • Applied self-supervised consistency techniques to enhance and stabilize hidden state representation learning for the DeepMind MuZero RL model, enabling the agent to achieve superhuman performance in Atari games with fewer interactions. • Implemented a TD learning RL model with tree search for the stochastic dynamic environment-based computer game “2048.” • Developed a visualization tool in Java that facilitated better analysis of the RL models’ performance across different board games. • Working under the supervision of Research Fellow WU, TI-RONG ## Education ### Master of Science - MS in Computer Engineering New York University ### Bachelor of Science - BS in Power Mechanical Engineering and Computer Science National Tsing Hua University ## Contact & Social - LinkedIn: https://linkedin.com/in/chifengliu --- Source: https://flows.cv/chifengliu JSON Resume: https://flows.cv/chifengliu/resume.json Last updated: 2026-04-13