Manh-Cuong P.

Key Skills

Software

Other

Don't disclose

Top Subject Matter

Cognitive reframing

psychological coaching

Nlp Domain Expertise

Top Data Types

Text

Top Task Types

Fine-tuning

Classification

Freelancer Overview

Undergraduate Researcher & Mentor, Natural Language Understanding Lab (NLU-Lab). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose and Other. Education includes Bachelor of Engineering, Hung Yen University of Technology and Education (2026). AI-training focus includes data types such as Text and labeling workflows including Fine-tuning and Classification.

Labeling Experience

NLP Researcher/Engineer, AI Academy Vietnam

TextClassification

Developed and optimized NLP solutions for enterprise and national digital transformation projects using modern transformer-based approaches. The role emphasized building text classification, information extraction, and document summarization capabilities, which rely on labeled or processed textual data for supervised modeling. Engineered scalable machine learning workflows and data processing pipelines to support high-availability AI product delivery. • Built text classification, information extraction, and document summarization models • Developed/optimized transformer-based NLP solutions • Created scalable ML workflows and data processing pipelines • Used engineering tooling to ensure high availability and operational robustness

2025 - Present

Undergraduate Researcher & Mentor, Natural Language Understanding Lab (NLU-Lab)

Don't discloseTextFine-tuning

Worked as an undergraduate researcher and mentor in an NLU lab focused on building cognitive-reframing systems using large language models. Although the role is primarily research, it involved preparing and refining text data and modeling outputs to support cognitive distortion analysis and psychological coaching applications. The work included designing multi-agent system behavior for automated reframing and evaluation against task targets. • Fine-tuned LLMs for cognitive-reframing and distortion-related NLP tasks. • Designed robust multi-agent workflows to automate cognitive reframing. • Collaborated on experimental design and iteration using peer-reviewed research outputs. • Mentored junior members on NLP model implementation and academic writing related to the training efforts.

2024 - Present

NLP Researcher/Engineer, AIAcademy Vietnam

OtherTextFine-tuning

Developed NLP solutions for large-scale digital transformation and enterprise AI products, focusing on transformer-based text classification, information extraction, and summarization. The engineering work required creating and processing text datasets and training/evaluating machine learning pipelines for downstream AI features. Although not described as human labeling, the role was centered on AI training workflows and data processing to optimize models. • Built transformer-based pipelines for text classification, information extraction, and document summarization. • Engineered scalable machine learning workflows and data processing pipelines for high availability. • Utilized event-driven and distributed tooling (Kafka/Spark) to support training and data processing throughput. • Optimized AI products for enterprise clients using processed text data and model outputs.

2025 - 2026

NLP Researcher and Engineer - AI Academy Vietnam

TextClassification

You worked as an NLP researcher and engineer delivering core NLP solutions for national digital transformation and enterprise clients. You focused on building text classification, information extraction, and document summarization systems using transformer-based approaches. You developed reliable machine learning and data processing pipelines to ensure scalable, high-availability AI services. • Implemented transformer-based solutions for classification, extraction, and summarization • Engineered scalable ML workflows and data pipelines using Linux, Docker, Git, Kafka, and Spark • Optimized AI product performance for enterprise stakeholders and project requirements • Supported production readiness through repeatable engineering practices and tooling

2025 - 2026

Education

Work History