skills.py experience.js projects.cpp 
class LinhHoang:
    def __init__(self):
        self.name = "Linh Hoang"
        self.role = "AI Engineer & Embedded Systems Developer"
        self.experience = {
            "ai_ml": "2+ years",
            "embedded": "1+ years", 
            "iot": "1+ years",
            "drone_automation": "Expert"
        }
        
    def get_highlights(self):
        return {
            "ai_agent": "Experienced in AI Agent development",
            "drone_gps": "Drone automation with GPS area measurement",
            "computer_vision": "Object detection & classification",
            "nlp": "Sentiment analysis & NER",
            "time_series": "Demand forecasting & prediction models"
        }

Key Achievements & Impact

🎯

95% Accuracy

AI models for demand forecasting

⚡

50% Faster

Drone automation processing

🛡️

99.9% Detection

TDOS attack prevention

📈

5+ Projects

Successfully deployed

Technical Skills

Programming Languages

Python (OOP, Flask, FastAPI) C/C++ (OOP, RTOS, Embedded) MATLAB (Image Processing) HTML5, CSS3, JavaScript Rust (Systems Programming)

Continuous Integration

Docker Kubernetes Helm

Database & Big Data

SQL Server MySQL PostgreSQL Neo4j

AI/Machine Learning

Supervised Learning Unsupervised Learning Transfer Learning Time Series Forecasting Computer Vision NLP OCR Reinforcement Learning

Embedded Systems & IoT

Drone Automation GPS Navigation RTOS (FreeRTOS, Zephyr) Arduino/ESP32 Raspberry Pi Sensor Integration UAV Control Systems Telemetry Systems

Frameworks & Libraries

TensorFlow PyTorch Keras OpenCV Scikit-learn Pandas Matplotlib

Cloud Computing

AWS (EC2, S3, Redshift) Google Cloud Microsoft Azure

Relevant Projects

Drone Automation System

Embedded Systems Engineer

🚁 Revolutionary autonomous drone system that achieved 50% faster area measurement compared to traditional methods. Features real-time GPS navigation, automated flight control, and live telemetry monitoring.

Duties:
  • Design and implement GPS navigation system for precise area measurement
  • Develop autonomous flight control algorithms using RTOS
  • Integrate sensors (GPS, IMU, barometer) for accurate positioning
  • Implement real-time telemetry and data logging
  • Create ground control station with live monitoring
  • Optimize battery life and flight efficiency
Technologies:
C/C++ Arduino/ESP32 FreeRTOS GPS Module IMU Sensors Python MAVLink Protocol QGroundControl

Demand Forecasting

AI Engineer

🤖 Advanced AI forecasting system with 95% accuracy in demand prediction. Successfully reduced inventory costs by 30% and improved supply chain efficiency for retail clients.

Duties:
  • Connect and collect data from SQL server
  • Data analysis for better feature selection
  • Deploy model to Azure with k8s
  • Analyze effects of promotion and holidays
  • Research and build time series models
Technologies:
Python ARIMA LSTM GRU Prophet SQL Server Kubernetes

Call Center Analysis

AI Engineer

📞 Intelligent call center analytics using BERT-based sentiment analysis. Processed 10,000+ calls daily with 92% accuracy in emotion detection and automated booking extraction.

Duties:
  • Research supervised learning text classification algorithms
  • Crawl data and label sentences
  • Implement algorithms for aspect extraction
  • Sentiment analysis using BERT architecture
  • Optimize model with multi-domain data
Technologies:
Python BERT PyTorch TensorFlow Word2Vec

Relation Extraction

AI Engineer

🔗 Advanced relation extraction system for knowledge graph construction. Achieved 88% F1-score in entity relationship prediction, enabling automated knowledge base population.

Duties:
  • Research supervised learning text classification algorithms
  • Crawl data and label sentences
  • Build Deep learning models for relationships
  • Building graph data
Technologies:
Python Deep Learning OpenNRE Neo4j PyTorch

TDOS Attack Detection

AI Engineer

🛡️ Real-time security AI system with 99.9% detection rate for TDoS attacks. Successfully prevented 2M+ fraudulent calls and reduced system downtime by 95% for telecom clients.

Duties:
  • Research supervised learning classification algorithms
  • Feature engineering
  • Building AI model
  • Deploying model to AWS
  • Training model with multiple GPUs
Technologies:
Python SVM Deep Learning AWS TensorFlow

NER Task

AI Engineer

🏷️ High-precision NER system with 94% accuracy in entity classification. Processed 1M+ documents and integrated with Neo4j graph database for real-time knowledge extraction.

Duties:
  • Research natural language processing algorithms
  • Crawl data and label sentences
  • Build Deep learning models
  • Deploying model to Neo4j
Technologies:
Python BERT Neo4j AWS PyTorch

Education

Da Nang University of Science and Technology

Da Nang City, Vietnam

Engineer Degree

Beyond Code

🎮 What I Love

Building innovative solutions, exploring new technologies, and turning complex problems into elegant code. When I'm not coding, you'll find me experimenting with drone technology or diving deep into the latest AI research papers.

🚀 My Mission

To bridge the gap between AI and embedded systems, creating intelligent solutions that make a real impact. I believe technology should be both powerful and accessible.

💡 Fun Fact

I once built a drone that could autonomously map areas 50% faster than traditional methods - and yes, it survived all the test flights! 🛸