
Hiep Tran
AI Research Engineer & Software Developer
Passionate AI researcher and software engineer with expertise in machine learning, distributed systems, and full-stack development. Dedicated to building intelligent systems that solve real-world problems and advance the field of artificial intelligence.
What I Do
Combining theoretical knowledge with practical experience to create innovative solutions
AI/ML Research & Development
Designing and implementing cutting-edge machine learning algorithms for NLP, computer vision, and data analytics. Published research in top-tier conferences and journals.
Full-Stack Software Engineering
Building scalable, production-ready applications using modern frameworks and cloud technologies. Focus on microservices architecture and DevOps best practices.
Open Source & Community
Active contributor to open-source projects in the AI/ML ecosystem. Maintaining libraries, mentoring developers, and sharing knowledge through technical blogs.
Professional Experience
Timeline of my professional journey in AI research and software development
AI Engineer
Torilab
π Hanoi, Vietnam
Developing and maintaining multimodal AI companion with capabilities for chat conversations, image sharing, and visual understanding through camera interactions
Key Responsibilities:
- β’Conducted research on controlling Large Language Model behavior without explicit prompting through activation steering techniques
- β’Developed and maintained multimodal AI companion integrating vision-language models for understanding images and natural conversations about visual content. Implemented real-time camera interaction system enabling users to share images and receive intelligent responses based on visual understanding
- β’Architected end-to-end RAG pipeline integrating document ingestion, chunking, embedding, vector storage, and LLM-based answer generation for financial reports and market data
- β’Built chat interface with multimodal context awareness, supporting seamless transitions between text and image-based conversations
- β’Performed Large Language Model and vision model fine-tuning including SFT, DPO, and multimodal alignment tasks, with scalable model serving using vLLM and SGlang
- β’Developed core framework supporting long-term memory, tool usage, dynamic prompts, and multi-turn multimodal interactions
- β’Worked on additional AI capabilities including user emotion detection from text and images, image generation with diffusion models and LoRA, and multi-speaker diarization
Technologies & Tools:
AI Engineer
VCCorp Corporation
π Hanoi, Vietnam
Developing and maintaining AI systems for Vietnamese document understanding and computer vision applications for social media platforms.
Key Responsibilities:
- β’Developing and maintaining Automated Information Extraction module for Vietnamese document understanding, often achieve 99% of accuracy
- β’Developing and optimizing automatic face attendance system with face detection and recognition, mask wearing check, person tracking modules
- β’Development of image and video classification system for Lotus social network
Technologies & Tools:
AI Engineer
A.L.I.S VIETNAM
π Hanoi, Vietnam
Developing a system to convert speech and text into sign language to assist Deaf people in accessing information.
Key Responsibilities:
- β’Study of speech-to-text, text-to-speech models, GANs, recognition and conversion models to human actions
- β’Implement pipeline for machine learning model using FastAPI, Docker, Kubeflow
- β’Research and development of multimodal AI systems for accessibility
- β’Design and implement real-time processing systems for sign language conversion
Technologies & Tools:
Viblo Algorithm Content Creator
Sun* Vietnam
π Hanoi, Vietnam
Contributing articles and algorithmic challenges on the Viblo ecosystem, focusing on AI/ML education and research.
Key Responsibilities:
- β’Contributing articles, algorithmic challenges on the Viblo ecosystem
- β’Research and publish articles on Computer Vision, Natural Language Processing, Recommendation system and MLOps
- β’Creating educational content for the developer community
- β’Sharing insights on latest AI/ML trends and technologies
Technologies & Tools:
Honors & Awards
Recognition for innovation, entrepreneurship, and technical excellence
πHackathons
Second Prize - GDSC HACKATHON VIETNAM 2023
Google Developer Student Clubs and Coderschool
First Prize - KO Hackathon
Kambria
FPT Track Winner - Developer Circles Vietnam Innovation Challenge
Facebook and Coderschool
π‘Innovation
Best Innovation Award - Build On Vietnam 2022
Amazon Web Services
First Prize - Creative Idea Challenge
School of Information and Communication Technology - Hanoi University of Science and Technology
πΌEntrepreneurship
National Runner-up - Vietnam Social Innovation Challenge (VSIC)
Foreign Trade University
First Prize - P-Startup Student Startup Idea Contest
Posts and Telecommunications Institute of Technology
Finalist - Social Business Creation
HEC MontrΓ©al
π¬Technical Competitions
Encouragement Prize - VAIPE Medicine Pill Image Recognition Challenge
VinUni-Illinois Smart Health Center (VISHC) at VinUniversity
Bronze Medal - Mathematics Olympiad for Vietnamese Universities
National Mathematics Committee
Education & Academic Background
Strong academic foundation with focus on advanced computer science concepts
Master of Science in Computer Science
Posts And Telecommunications Institute of Technology
2024-2026 β’ Specialization: Machine Learning & AI
Relevant Coursework:
Bachelor of Science in Computer Science
Posts And Telecommunications Institute of Technology
2018-2023 β’ Specialization: Software Engineering
Relevant Coursework:
Research Interests & Focus Areas
π¬Current Research Focus
- β’Large Language Models & NLP: Advancing transformer architectures, few-shot learning, and multilingual understanding
- β’Computer Vision & Multimodal AI: Developing efficient vision models and cross-modal learning systems
- β’MLOps & AI Infrastructure: Building scalable ML systems and automated deployment pipelines
- β’Distributed Systems: Designing fault-tolerant, high-performance computing systems for AI workloads
π―AI Development & Research Goals
My primary focus is on building practical AI products that deliver real value. I'm deeply passionate about AI Interpretability β understanding how neural networks make decisions, visualizing internal representations, and developing techniques to make AI systems more transparent and trustworthy.
I'm also heavily invested in Generative AI, including diffusion models, large language models, and multimodal generation systems. My current work involves exploring novel architectures, improving generation quality, and developing efficient inference techniques for deploying these models in production environments.
π "Building AI products that are not only powerful but also interpretable, reliable, and ready for real-world deployment."
Let's Build Something Amazing Together
I'm always excited to collaborate on innovative projects, discuss research opportunities, or explore how AI can solve complex challenges. Whether you're looking for a technical partner, research collaborator, or want to discuss the latest in AI and software engineering.