Hi, I'm Bohao 👋

🤖 LLM Systems & Post-Training Researcher | 🛠️ Agentic AI Engineer

Building intelligent AI systems that bridge models, agents, and human experiences — from high-performance LLM infrastructure to voice-enabled desktop companions.

I focus on:

• Efficient LLM architectures and attention mechanisms
• Post-training algorithms (SFT, DPO, GRPO, RLHF)
• Agent systems and tool-augmented AI
• Multimodal interaction with voice, vision, and real-time experiences

🌐 Open Source

🤝 Contributed

• 🤖 flash-linear-attention — Efficient implementations for emerging model architectures.

• 🧠 tilelang — Domain-specific language designed to streamline the development of high-performance GPU/CPU/Accelerators kernels

🚀 Leading

• 🧭 Codev — Full-featured agentic coding workspace with ToolSearch, SubAgent Swarm, and auto-compact context management
• 🤖 Codev Studio — Desktop home for your Codev coding agents. Terminals front and center, editor when you need it
• 🧠 Omni — Multimodal LLM framework: train LM, VLM, and full speech models from scratch; real-time voice/video call

📄 Publication

🌊 Partial Multi-View Clustering via Meta-Learning and Contrastive Feature Alignment

GitHub Activity

Philosophy

"Build what you'd want to use yourself" — Every project starts as a personal need, then grows into something others can benefit from.

Random Facts

• Ani started as a weekend experiment, grew into a full desktop companion platform
• Runs multiple AI models in parallel for different tasks
• Deeply invested in making AI interaction feel natural, not robotic
• Constantly exploring new ways to bridge terminal AI with rich desktop experiences