Building innovative AI Evaluation Systems, architecting scalable DevOps solutions, and passionate about bringing impactful startups to life.
- 🔭 Currently focused on building cutting-edge AI Evaluation Systems leveraging the power of Large Language Models and custom-designed pipelines to ensure reliability and performance.
- 🧱 Proficient in building robust and scalable backend infrastructure using Python, FastAPI, Kubernetes, and MySQL, essential for deploying and managing AI applications.
- 🔬 Deeply interested in research areas including Retrieval-Augmented Generation (RAG) for enhanced LLM knowledge, Agent Orchestration for building intelligent multi-agent systems, and Prompt Optimization techniques for maximizing LLM output quality.
- 💡 Past experience includes working with tools like Unsloth, LlamaFactory, and CodeLlama for fine-tuning and customizing Large Language Models.
- 💬 Happy to discuss topics such as LangChain for building LLM applications, ComfyUI for visual AI workflows, Fine-Tuning techniques for LLMs, and leveraging data-driven insights for IRR Forecasting.
- 🔗 AI EvalKit - A modular and extensible framework designed for comprehensive evaluation of Large Language Models, ensuring their accuracy, reliability, and ethical behavior.
- 📊 FinModeler - An advanced KPI-based tool for generating insightful Internal Rate of Return (IRR) forecasts, leveraging data-driven methodologies for strategic financial planning.
- 🧠 RAG-Playground - A lightweight and versatile testbed for experimenting with multi-modal Retrieval-Augmented Generation (RAG) pipelines, exploring innovative approaches to enhance LLM performance with external knowledge.
- 📝(https://home.cnblogs.com/u/dmeck)
- 📫 Email: [email protected]
“Ship early. Iterate fast. Measure everything.”