Gonzalo Romero, aka 𝔇𝔢𝔢𝔭ℜ𝔞𝔱 : ingeniero de IA especializado en IA generativa multimodal y sistemas de IA aplicada. Pasión por la ciencia desde los 6 años gracias a Carl Sagan. Amo la tecnología y la información; son los pilares de mi día a día. Programando, estudiando y experimentando desde mi primera computadora. Más de 12 años de formación continua entre cursos y certificaciones (20+), universidad y aprendizaje autodidacta.

	LTX Fast (ItV & PtV) — Smart ZeroGPU Inference Optimized video generation demos (research-grade). DeepRat implementation
	MedeX — Advanced Medical AI Assistant RAG + LLM clinical reasoning (educational prototype). DeepRat implementation
	TrueEye — Media/News Analyzer Detects bias, audience and manipulation in news content. DeepRat implementation
	DeepRat Interactive Lessons — Educative Repo Hands-on labs (e.g., YOLOv8) and future modular lessons. Knowledge hub

⯈ GenAI & Applied AI Systems
• LLMs: GPT, Mistral, LLaMA, Falcon, Kimi, Qwen-VL
• RAG: LangChain, LangGraph, FAISS, Chroma, Weaviate, Pinecone
• Vector DBs: Qdrant, Milvus, ChromaDB
• Agents: ReAct, AutoGPTQ, OpenAgents
• Fine-Tuning: LoRA, QLoRA, PEFT, bitsandbytes
• Formats: GGUF, llama.cpp

⚙ AI Modeling & Training
• Frameworks: PyTorch, Transformers, scikit-learn, XGBoost
• Workflows: Training pipelines, quantization, distillation, eval metrics
• Vision: OpenCV, YOLOv8, CLIP, BLIP, ViT, Stable Diffusion, SDXL

✦ NLP & Data Intelligence
• Embeddings: SentenceTransformers, Cohere, OpenAI, HF models
• Processing: spaCy, NLTK, Regex, custom pipelines
• Graph Reasoning: GraphRAG, LangGraph memory

➤ Backend Engineering
• Languages: Python (Advanced)
• APIs: FastAPI, Flask, WebSocket
• Auth & Security: JWT, OAuth2, RBAC, Multi-Tenant
• DBs: PostgreSQL, MySQL, SQLite, MongoDB
• Observability: Logging, Prometheus, Grafana

⧉ MLOps & Deployment
• Hosting: Hugging Face, Ollama, Replicate, Triton, ggml
• CI/CD: GitHub Actions, Railway, Docker Compose, Make
• Cloud: AWS, GCP
• Monitoring: LangSmith, inference logs, custom APIs

🞄 Full-Stack & UI Dev
• Frontend: Gradio, Streamlit, HTML5, CSS3, JS, TailwindCSS
• UX: Prompt UIs, streaming interfaces, agents-as-apps
• Interfaces: Jinja2, Markdown rendering

📊 Data & Analytics
• Tools: NumPy, Pandas, Seaborn, UMAP, Matplotlib
• Visualization: Embedding plots, attention maps, token analysis
• Workspaces: Jupyter, Google Colab

🛠 Development Workflow
• Versioning: Git, GitHub
• Tooling: VS Code, Notion, Make, SSH
• Documentation: Markdown, README-driven Dev

✔ End-to-End AI system design: from dataset to API & UI
✔ Multimodal & RAG-based systems in production
✔ Strong blend of backend engineering, ML, and DevOps
✔ Obsessed with tooling, benchmarks, and real-world reliability