Ken Lu
AI practitioner turned writer. Breaking down frontier models, agent systems, and dev tooling so engineers can ship smarter. Hands-on coverage of LLM agents, RAG, and small-model fine-tuning.
Education
B.Sc. Computer Science · Self-directed study in ML systems
Pronouns
he / him
Work
AI Engineer · Indie Writer
Badges
1 Week Community Wellness Streak
For actively engaging with the community by posting at least 2 comments in a single week.
Writing Debut
Awarded for writing and sharing your first DEV post! Continue sharing your work to earn the 4 Week Writing Streak Badge.
Skills/Languages
Python, TypeScript, PyTorch, Hugging Face, LangChain, vector databases (pgvector, Qdrant), Docker, FastAPI, Next.js, prompt engineering, RAG, evals, fine-tuning (LoRA / QLoRA), vLLM
Currently learning
Multi-agent orchestration (LangGraph, CrewAI), tool-using agents with constrained decoding, and on-device SLMs for privacy-first apps.
Currently hacking on
An open-source agent harness that turns a single prompt into a multi-step research workflow with citation tracking. Stack: TypeScript, Bun, Qdrant, gpt-4o-mini.
Available for
Technical writing, conference talks, podcast guest spots, and consulting on LLM integration, RAG design, and AI dev-tooling. Open to long-form collaborations with research teams.
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