Cuong Manh
Nguyen

HySonLab, University of Alabama · Remote

• First author of TeBaAb: text-based antigen-conditioned antibody redesign — accepted at Workshop AI for Science, NeurIPS 2025.
• First author of review paper: Efficient Deep Learning for Medical Imaging (arXiv:2602.00910, with Prof. Truong-Son Hy).
• Conducted research on deep learning methods for medical imaging and drug discovery, focusing on efficient model design and clinical applicability.
• Investigated computational approaches for representation learning to bridge the gap between large-scale models and resource-constrained deployment environments.

Zalo AI, VNG Corporation · Ho Chi Minh City

• End-to-End AI Engineering: Drove the applied research, evaluation, and large-scale production deployment of Vietnamese-optimized Large Language Models (KiLM) and speech processing systems (TTS, ASR).
• MLOps & Infrastructure: Ensured high availability and system reliability by orchestrating deployments via Kubernetes and establishing comprehensive real-time monitoring and logging pipelines using Grafana and Prometheus.
• Backend & System Design: Architected scalable, high-performance backend services utilizing Python and Golang. Refactored core service architectures, successfully reducing TTS system error rates by 80% and enhancing overall system fault tolerance.
• Conducted in-depth research on Vietnamese text-to-speech (TTS) technologies, experimenting with state-of-the-art models such as Tacotron2, FastSpeech, and VITS.
• Authored a scientific paper on multilingual speech synthesis, published in PRICAI 2021 as the first author.

British Council

Google · Coursera Professional Certificate

DeepLearning.AI · Coursera