Official public credentials verification portal for verified diplomas and certifications across the Hugging Face Learn ecosystem.
🤗 Hugging Face Profile: @maurorisonho
Supreme academic honor recognizing comprehensive mastery and successful completion of all 12 official Hugging Face Learn tracks: LLMs, Autonomous Agents, Reinforcement Learning, Audio Transformers, Computer Vision, Diffusion Models, Robotics, RAG, 3D Deep Learning, Game AI, and Production Engineering.
Official passing grade across 100% of the 11 hands-on Hub evaluation benchmarks (PPO, DQN, REINFORCE, Unity ML-Agents, A2C, ViZDoom). Officially issued and signed by Thomas Simonini.
Full mastery of agentic frameworks (smolagents, LangChain), Python code-based tool execution, hierarchical multi-agent architectures, and GAIA benchmark evaluation.
Official certification exam on autonomous agent architecture, autoregressive LLM planning, environment observability, and decision-making with a perfect 100% score.
Validated models published on the Hub for Acoustic Classification (AST, acc 0.92), Automatic Speech Recognition (Whisper, WER 0.22), and Speech Synthesis (SpeechT5).
Specialization in pre-trained models, subword tokenization (BPE, WordPiece), fine-tuning with Transformers, and causal LLM generation architectures.
Vision Transformers (ViT) fine-tuning, convolutional architectures, open-vocabulary object detection with OWLv2, and semantic image segmentation.
From-scratch implementation of 2D U-Net DDPM generative models, linear beta noise scheduling, DreamBooth personalization, and LoRA fine-tuning in Diffusers.
Behavioral cloning, Action Chunking with Transformers (ACT), and Diffusion Policy for robotic manipulator control within the LeRobot ecosystem.
Advanced RAG pipelines: dense vector search, semantic document chunking, bilingual embeddings, cross-encoder reranking, and hybrid BM25 integration.
Model Context Protocol (MCP) integration, local tool orchestration with smolagents, and ultra-optimized inference for lightweight language models.
Procedural content generation, intelligent NPC decision-making, and game engine integration (Unity, Godot) with generative AI pipelines.
Point cloud classification (PointNet), Neural Radiance Fields (NeRF), and explicit volumetric scene reconstruction using 3D Gaussian Splatting.
Production-grade patterns: neural quantization (AWQ, bitsandbytes), high-throughput vLLM serving, semantic guardrails, and scalable cloud deployment.
maurorisonho. The space evaluates all Hub models in real time and renders the official Certificate of Excellence.