本项目旨在分享大模型相关技术原理以及实战经验（大模型工程化、大模型应用落地）

Interactive CV with AI chat integration. Built with React 19, TypeScript, Claude API. Chat with my AI avatar about my experience.

This is a landscape of the infrastructure that powers the generative AI ecosystem

LLM/MLOps/LLMOps

⚡ Awesome AI Gateway — curated comparison of 100+ AI gateways & LLM proxies (LiteLLM, OpenRouter, Portkey, Kong, Higress, new-api, Bifrost) by cost, security, compliance & self-hosting. Decision tree + reproducible benchmarks. Open source, bilingual, updated daily.

This Agentic system is designed to handle complex data analysis tasks by breaking them down into smaller subtasks and delegating them to specialized agents. The system uses a multi-agent architecture to improve performance and scalability.

Production grade RAG SaaS with multi-tenant auth, semantic caching, LLMOps observability (Prometheus/Grafana), per-tenant token cost tracking, and rate limiting - inspired by Kapa.ai (YC S23)

Monitoring and evaluating LLM apps with Langfuse. Presented at PyConZA 2024.

Portable, self-contained snapshot of a complete Claude Code setup — 36 specialist agents, 134 skills, plugins, MCP servers & host tooling. Clone, claude login, run one script, restore the whole orchestration stack in ~20 min.

A web scraping platform including Twitter, Instagram, Facebook and Youtube providing reports on sentimental Analysis for TN Election 2026

Code and experiment outputs for our DECLARE MOC2025 paper on an LLM-based labeling workflow with XAI (SHAP) and human-in-the-loop QA. Built from a technical-debt detection case study using LLMs and scikit-learn, focusing on avoiding shortcut learning, leakage, and handling imbalance.

AI Engineer building production-grade ML systems | LLMs, RAG, ML Pipelines | Python, TensorFlow, LangChain | Open to opportunities

Multi-model SQL Agent with LLMOps: fine-tuned models for SQL generation, chart reasoning, and SVG rendering. Deployed on HuggingFace Spaces.

Hands-on AWS data lake and pipeline workshops for engineering teams. Glue, Redshift, Lake Formation, Databricks, LLMOps.

🧠 Enhance your AI prompts with proven techniques like Chain-of-Thought and ReAct for superior reasoning and accuracy in your applications.

Audit AGENTS.md, CLAUDE.md, and SKILL.md files for prompt bloat, conflicting rules, and agent instruction drift.

Quick demo for regime aware asset allocation based on: https://ora.ox.ac.uk/objects/uuid:1a421d83-a010-484e-83c1-504bc9f1cbbf/files/d7s75dd17x and https://rpc.cfainstitute.org/sites/default/files/docs/research-reports/rf_aiinassetmanagement_full-monograph_online.pdf

A curated showcase of small, on-premise models with great utility, enabling privacy-centered deployment and easy adaptation to bio-inspired use cases.

Playbook prático para estruturar, governar e evoluir Centros de Excelência em IA (AI CoE), com artigo principal, artefatos operacionais e mecanismo de assessment de maturidade.