ABOUT ME
AI Engineer with proven ability to independently build production systems from requirements to deployment using Agile methodology. Architected semantic search solution serving 6,000+ users with 132% accuracy improvement through intelligent system integration, microservices architecture, and Docker orchestration. Built production chatbot and fraud detection systems using Python and FastAPI. Specialize in LLM integration, bot development, and automation workflows with strong foundation in modular architecture, AI-assisted development practices, and full development lifecycle management. Currently advancing expertise through graduate research in Computer Vision and Edge AI, recognized with Best Paper Award at ASIP 2025. Multilingual (Khmer, English, Chinese) with deep understanding of AI applications in Southeast Asian contexts.
PERSONAL DETAILS
Nationality: Cambodian
LANGUAGES
Khmer
English
Chinese
LINKS
HOBBIES
AI Research, Programming, Movies, Reading
REFERENCE
Dr. May Thu
Dean of Faculty of Engineering, Cambodia University of Technology and Science (CamTech)
Contact available on request
Monireach Tang
AI Engineer
📍 Phnom Penh, 120911, Cambodia
📞 +85570489488
📧 monireach.tang@gmail.com
EDUCATION
Cambodia University of Technology and Science (CamTech)
Master's Degree, Artificial Intelligence
Oct 2024 - Dec 2027
- Research Topic: "Contactless AI-Powered Abnormal Movement Detection for Elderly Safety Assurance"
- Developing non-invasive AI system leveraging Computer Vision, Edge AI, and privacy-by-design principles for real-time anomaly detection
- Processing and annotating sensor data, performing feature engineering, and optimizing hybrid model (CNN-LSTM-Transformer)
- Best Paper Award, ASIP 2025 Conference (Privacy Governance in AI-Powered Elderly Monitoring)
- Key Technologies: Python, PyTorch, FastAPI, Computer Vision, Anomaly Detection, Edge Computing
AI PROJECTS
Smart Customer Service Chatbot
LLM-Powered Chatbot Microservice
Live | monireach.com
- Architecting a configurable, natively multilingual chatbot microservice with two layers: Instructions layer (dynamic system prompt for tone and business rules) and RAG-based Domain Knowledge layer (ChromaDB vector store with CRUD API) — targeting SaaS deployment for SMEs
- Integrated Groq LLM (Qwen3-32b open-source) with stateful multi-turn conversation history, implemented
<think>block parsing to cleanly separate model reasoning traces from user-facing responses, and designed SSE streaming pipeline for real-time typewriter UX - Built production-grade infrastructure: FastAPI backend, Docker multi-environment orchestration (dev/staging/prod), PostgreSQL session management, Nginx reverse proxy, and comprehensive pytest test suite following TDD methodology
- Designing configurable RAG pipeline (semantic chunking → embedding generation → ChromaDB top-k retrieval → prompt injection) enabling domain-specific responses per client without model fine-tuning or redeployment
- Retained hybrid NLP pipeline (TF-IDF + Naive Bayes intent classification, entity extraction) as deterministic routing layer before LLM invocation — combining classical ML precision with LLM generative capability for production reliability
Fraud Detection System
Production ML System with REST API
Production-Ready | GitHub
- Built end-to-end fraud detection system handling full ML lifecycle from data preprocessing to production API deployment
- Achieved 96% precision and 91% F1 score through custom threshold optimization and business cost-aware metrics
- Designed production-grade REST API with FastAPI featuring health checks, error handling, SHAP-based model explanations, and real-time predictions
- Containerized with Docker and orchestrated deployment pipeline with environment-specific configurations (dev/staging/production)
WORK EXPERIENCE
R4C (Tuktuk Charity)
AI Engineer
Aug 2025 - Present | Production | Staging (with AI Chatbot)
- Architected AI-powered educational platform serving 6,000+ Cambodian teachers, improving resource discovery accuracy from 25% to 58% (132% improvement) through hybrid search combining semantic embeddings and keyword matching with <2-second response time
- Designed multi-cloud AI architecture integrating OpenAI and Google Cloud services: GPT-4/Gemini for chat and translation, text-embedding-3-large for semantic search, Google Cloud Speech-to-Text for voice input, and Pinecone vector database for 1,400+ educational resources
- Built microservices ecosystem using FastAPI and Docker: Khmer tokenization service (khmernltk) for NLP word segmentation, voice transcription service (FFmpeg + Google Cloud STT) for audio-to-text conversion, enabling voice-powered search interface
- Implemented bilingual embeddings system (Khmer-English) with intelligent caching and cost optimization (Gemini 2.5 Flash-Lite), reducing translation costs by 90% while maintaining search accuracy for both languages
- Developed RAG-based conversational chatbot with custom context filtering, dynamic URL mapping, and environment-aware responses, deployed on WordPress with AI Engine Pro integration
Proserve Performance Co., Ltd.
Chatbot Specialist
Jun 2025 - Feb 2026
- Design and deploy automated chat solutions using NLP tools, creating conversation scripts and FAQs in Khmer language
- Monitor chatbot performance metrics, analyze user interactions, and optimize chat functionality for customer satisfaction
- Provide Mandarin language support for chat automation and implement workflow process improvements
Taishan Technology Co., Ltd.
DevOps & Project Coordinator
Dec 2023 - Jun 2024
- Set up and managed deployment servers using MySQL, PHP, Node.js, and NGINX, including domains, DNS settings, and SSL certificates for PHP-based projects
- Monitored system performance using Tencent Cloud tools while analyzing requirements and coordinating task assignments through Zentao
- Implemented Docker with NGINX proxy for efficient multi-project management, streamlining deployment processes and successfully managing multiple project launches
Maya Technologies Co., Ltd.
Flutter Dev & DevOps
Dec 2020 - Dec 2023
- Collaborated with Java backend developers for seamless integration and configured servers on multiple cloud platforms
- Built APK files for Android and developed PWAs for iOS, managing app versioning and deployment processes using Git and GitLab, delivering multiple updates on schedule with enhanced workflows