Bui Vinh Loc - Portfolio
A website showcasing my skills, projects, and experience in software development and artificial intelligence.
š Hello, Iām Bui Vinh Loc
AI Engineer (Automation & AI Systems)
Fresher AI & Backend Engineer with hands-on experience in LLM applications, RAG pipelines, and workflow automation.
I build AI assistants, chatbots, and intelligent automation systems using Python, OpenAI, and UiPath.
My focus is on AI system integration, combining machine learning, backend services, and automation to solve real-world operational problems.
š About Me
I am passionate about building practical AI solutions that improve business workflows.
My experience spans across AI engineering, backend development, and RPA automation, allowing me to design end-to-end intelligent systems.
Currently working as an RPA Developer Intern at Indovina Bank, where I develop automation bots and AI-assisted workflows that help reduce manual processing and improve operational efficiency.
My long-term goal is to become an AI System Engineer, focusing on:
- AI Agents
- LLM-powered applications
- Automation systems
- Edge AI deployment
š Technical Skills
Programming
- Python
- R
- C#
- HTML
AI & Machine Learning
- PyTorch
- TensorFlow
- Scikit-learn
- OpenCV
- XGBoost
LLM & AI Systems
- OpenAI API
- Hugging Face Transformers
- LangChain
- LlamaIndex
- RAG Pipeline Development
- BLIP / CLIP
Data Processing
- NumPy
- Pandas
- Matplotlib
- Seaborn
Backend & System
- Flask
- FastAPI
- REST APIs
- Docker
- Postman
- Logging & Debugging
Databases
- MySQL
- PostgreSQL
- MongoDB
- ChromaDB
- FAISS
Automation & RPA
- UiPath
- Excel Automation
- Workflow Design
- API Integration
Tools
- Git
- VS Code
- Google Colab
- Jupyter Notebook
- Jira
- Trello
š¼ Work Experience
RPA Developer Intern ā Indovina Bank Ltd. (Head Office)
Aug 2025 ā Dec 2025 | Ho Chi Minh City
- Automated 3 internal banking workflows using UiPath, reducing manual processing time by ~40%.
- Integrated Excel and REST APIs to synchronize data across systems, saving 2ā3 hours per day for operations teams.
- Optimized bot execution logic, reducing runtime errors by ~30%.
- Collaborated with business teams to identify automation opportunities across 5+ internal processes.
Backend Software Engineer Intern ā FPT Software Academy
Jan 2024 ā May 2024 | Ho Chi Minh City
- Developed RESTful APIs using Flask for AI-powered applications.
- Built backend modules for data processing and third-party API integration.
- Optimized SQL queries and database structure to improve performance.
- Worked in Agile development environments using Git and Jira.
š Education
FPT University (2021 ā 2025)
Major: Artificial Intelligence
GPA: 3.0 / 4.0
š Projects
AI-Based Abnormal Behavior Detection from Surveillance Cameras
Completed | 09/2025 ā 12/2025
Developed a deep learning system to detect abnormal human behavior in surveillance footage.
Key technologies:
- CNN + LSTM for spatio-temporal analysis
- I3D and SlowFast video models
- YOLO for object detection and tracking
Features:
- Behavior recognition from video streams
- Real-time anomaly detection
- Evaluation using Precision, Recall, and F1-score
Goal: Deploy the system for security monitoring and surveillance automation.
Personalized Outfit Analysis and Recommendation System
Completed | 01/2025 ā 05/2025
Built an AI fashion assistant capable of analyzing images and recommending outfits.
Key features:
- Image captioning using BLIP
- Outfit recommendations using GPT models
- Vietnamese translation and keyword extraction
- Integration with e-commerce product search APIs
Tech stack:
- Python
- Flask
- OpenAI
- Image captioning models
Chatbot Q&A about Socialism
Completed | 09/2024 ā 12/2024
Developed a Vietnamese knowledge chatbot using RAG architecture.
Features:
- Document retrieval pipeline
- Context-aware prompt logic
- Knowledge-based response generation
Tech stack:
- Flask
- Hugging Face Transformers
- LangChain
- RAG pipelines
Tomato Quality Automatic Assessment for Harvesting
Completed | 09/2024 ā 12/2024
Deep learning system for automatic tomato ripeness classification.
Key components:
- CNN image classification models
- Data augmentation and preprocessing
- Farm dataset evaluation
Result:
- Achieved 85%+ accuracy on real-world dataset.
š Certifications
- IBM Full Stack Software Developer Certification
- Big Data ā University of California San Diego
- Natural Language Processing ā DeepLearning.AI
- DeepLearning.AI TensorFlow Developer
š§ Soft Skills
- Analytical thinking
- Problem solving
- Collaboration
- Critical thinking
- Attention to detail
š Languages
Vietnamese ā Native
English ā High Intermediate (IELTS 6.0)
š© Contact
Email: locbv1711@gmail.com
Phone: 0834-036-067
GitHub: LenoxVaugh
LinkedIn: Bui Vinh Loc
Portfolio: lenoxvaugh.github.io