class MLEngineer:
name = "Lanmo"
focus = ["NLP", "RAG Systems", "Computer Vision"]
stack = ["PyTorch", "Transformers", "LangChain", "FastAPI"]
learning = ["LLM fine-tuning", "Vector DBs", "Agents"]Languages
ML / DL
NLP / RAG
Tools
| Project | Description | Stack |
|---|---|---|
| 🏦 Financial-RAG | RAG-pipeline for financial reports: OCR → chunking → LLM Q&A | PyTorch, LangChain, FAISS |
| 🤗 SentimentBERT-LoRA | BERT fine-tuned with LoRA for sentiment analysis | Transformers, PEFT |
| 📍 hack_digital_transformation | Location detection from photos with web interface | Python, CV |
| 🏆 SMILES-2026-ZO-Resnet | Competition solution with ResNet architecture | PyTorch |
- 🥇 PSB.Hak — banking ML challenge
- 🤖 Digital Transformation — geolocation from images
- 📊 Tender Hack — NLP for procurement documents
- 🐾 Animal Traces — CV classification competition
