AI Engineer building practical LLM, RAG, Computer Vision, and AI Agent systems. Passionate about turning AI research into production-ready applications.
- π§ AI Engineer specializing in end-to-end AI solutions (from experimentation to deployment)
- π€ Deep focus on LLMs, RAG pipelines, Computer Vision, and AI Agents
- π Actively building Mongolian-language AI tools and localized solutions
- β‘ Strong believer in local-first & self-hosted AI (Ollama, Docker, etc.)
| Project | Description | Key Technologies |
|---|---|---|
| Object_Segmentation | Full-stack web app for image, video & live webcam segmentation using state-of-the-art models | FastAPI, Hugging Face (SAM, Mask2Former, SegFormer), OpenCV, Vanilla JS |
| Object_Detection_Yolo | Real-time object detection platform supporting images, videos, YouTube & webcam streams | YOLOv8, FastAPI, OpenCV, MJPEG streaming |
| AI_Resume_Cover_Generator | Advanced AI resume analyzer & cover letter generator with sync + async pipelines | FastAPI, Kafka, Redis, Docker, Ollama, DeepSeek |
| News_Agency | Intelligent news aggregator with scraping, LLM-based deduplication & editorial dashboard | Flask, Ollama, BeautifulSoup, NLP |
| VecRAG | Local Retrieval-Augmented Generation system with flexible chunking & vector search | LangChain, ChromaDB, Ollama, Embeddings |
| AI_Interviewer | Interactive AI interview simulator with speech capabilities | Flask, Text-to-Speech, OpenAI/DeepSeek |
More projects β View all repositories
Core
Python β’ PyTorch β’ TensorFlow β’ Hugging Face Transformers β’ LangChain
Computer Vision
OpenCV β’ YOLOv8 β’ SAM β’ SegFormer β’ Mask2Former
LLM & RAG
Ollama β’ DeepSeek β’ ChromaDB β’ Pinecone β’ Weaviate β’ Kafka β’ Redis
Backend & Deployment
FastAPI β’ Flask β’ Docker β’ PostgreSQL β’ MongoDB
Others
Streamlit β’ Gradio β’ OCR (PaddleOCR, EasyOCR, GLM-OCR)
- LinkedIn: Javkhlantugs Tse
- GitHub: github.com/tsejavhaa
Always open to interesting collaborations and opportunities in AI Engineering!