BAO NGUYEN NGOC
Product-focused Engineer
Leveraging 6 years of expertise in Advanced Web Engineering and Artificial Intelligence. I build scalable platforms that integrate Computer Vision and Generative AI directly into business workflows. My core strength lies in designing efficient, type-safe architectures capable of handling heavy concurrent workloads while maintaining a seamless user experience.
Crafting intelligent experiences
Product-focused Engineer leveraging 6 years of expertise in Advanced Web Engineering and Artificial Intelligence. I build scalable platforms that integrate Computer Vision and Generative AI directly into business workflows. My core strength lies in designing efficient, type-safe architectures capable of handling heavy concurrent workloads while maintaining a seamless user experience. Committed to delivering high-performance software with automated, enterprise-grade deployment pipelines.
Machine Learning
Deep expertise in neural networks, NLP, and computer vision
Full-Stack Dev
Building scalable applications with modern frameworks
AI Integration
Seamlessly integrating AI into production systems
Performance
Optimizing models and systems for real-world use
Featured work
End-to-End AI Vision Platform for Container ID & Asset Recognition
Led the development of a full-stack AI Vision system for automated container-number detection, OCR extraction, and exception monitoring across mobile devices, backend processing services, and a centralized web dashboard.

Automated Intelligent Job Tracking and Matching Platform
Developed a sophisticated Automated Job Search and Matching Platform designed to analyze job market data and provide quantifiable skill-based compatibility reports using advanced technical processes.
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AI Customer Service & Deployment (Kiosk Platform)
Designed and implemented an AI Agent solution focused on handling tier-1 customer service inquiries, effectively supporting the goal of offloading customer support to AI with seamless front-end integration and deployment.
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Scalable Automated Dubbing and Video Editing System
Engineered a scalable system for automated speech-to-speech dubbing and video editing based on customizable templates, featuring multi-provider AI integration and automated social media publishing.
Other Projects
Where I've worked
Full Stack / NLP Engineer
AI Customer Service Agent (Kiosk Platform): Engineered a Retrieval-Augmented Generation (RAG) system integrated with dynamic Knowledge Base ingestion. Achieved a 100% automated resolution rate for Tier-1 support queries immediately post-launch.
Intelligent Job Matching Engine: Developed a semantic analysis tool utilizing Advanced Large Language Models (LLMs) to parse unstructured resume data. Created algorithms to generate quantitative compatibility metrics (e.g., Skill Match & Gap Analysis), empowering data-driven recruitment decisions.
Seamless Frontend Integration: Implemented asynchronous UI injection strategies to embed intelligent agents into third-party client environments without compromising host performance.
Scalable Backend Architecture: Architected high-throughput asynchronous microservices to orchestrate complex communication between user interfaces, vector databases, and AI inference engines.
AI Engineer & Technical Lead
Technical Leadership: Led a cross-functional team to architect and deploy industrial Computer Vision solutions, directly addressing critical operational inefficiencies. Translated complex business requirements into deployable technical specifications.
DataOps & Model Training: Established robust Data Operations pipelines, managing the full lifecycle from designing rigorous data annotation protocols to training and fine-tuning custom neural networks for specific industrial contexts.
Edge Infrastructure & IoT Deployment: Directed the on-site physical implementation, overseeing the configuration of Edge computing devices, IP cameras, and network infrastructure (Wi-Fi/LAN) to ensure stable, real-time data transmission.
End-to-End Vision Platform (Container Logistics): Spearheaded the development of a recognition system for automated asset tracking.
- Achieved >90% extraction accuracy via customized deep learning OCR architectures.
- Reduced manual inspection workloads by ~60% via automated anomaly detection.
- Performance Engineering: Optimized inference pipelines using hardware acceleration, reducing latency to <200ms per frame.
- MLOps: Revolutionized the delivery workflow by establishing automated CI/CD pipelines, slashing model deployment cycles from days to <1 hour.
System Architect
Specialized Projects & Freelance
•RemoteScalable Automated Dubbing & Video Editing System: Architected a cloud-native platform for automated "speech-to-speech" localization and content generation.
- Cloud Architecture: Designed a hybrid infrastructure leveraging Serverless Computing for event-driven logic and Container Orchestration for heavy rendering workloads.
- Advanced AI Integration: Orchestrated a Multi-Provider Strategy combining best-in-class TTS/STT services to ensure natural prosody and voice preservation.
- Workflow Automation: Engineered a distributed publishing system capable of bypassing platform restrictions via complex proxy management.
Computer Vision Developer (Part-time)
OCTA
•RemoteDeveloped high-precision image processing software for Optical Character Recognition (OCR) tasks, focusing on maximizing throughput and accuracy in constrained environments.
Computer Vision Developer
SPTECH
•RemoteCreated backend recognition systems for industrial manufacturing, specifically targeting Product Identification and Automated Defect Detection.
Academic Background
Management Information Systems
University of Economics Ho Chi Minh City
•Ho Chi Minh CityRelevant Coursework:
Let's work together
I'm always interested in hearing about new projects and opportunities. Whether you have a question or just want to say hi, feel free to reach out!
