I don't write papers about AI. I ship it.

There's a difference between people who talk about building intelligent systems and people who actually wake up at 3AM to debug a RAG pipeline before a 9AM client demo.

I'm the second kind.

Co-founder @ Bug Biceps — an AI production studio born from one conviction: that models should solve real problems, not sit in Jupyter notebooks. We build systems that remember, reason, coordinate, and see. In production. Not in theory.

Right now I'm deep in LangGraph orchestration, MCP server architecture, and fine-tuning at scale — six active builds, all moving, none abandoned.

◆ NEURAL AI · ML · GenAI

◆ CORE Backend · Cloud

◆ VISION CV · Interface

◆ GRADE Classification · Rules

▰▰▰▰▰▰▰▰▰▰ 100%

Autonomous tool orchestration across isolated servers. Built the architecture they said was too ambitious. Proved them wrong before the meeting ended.

▰▰▰▰▰▰▰░░░ 72%

Twenty specialized agents. One orchestrator. Zero chaos. The system coordinates, decides, and executes — all under graph-level control.

▰▰▰▰▰▰▰▰░░ 83%

Not retrieval. Not keyword matching. Genuine contextual memory at scale. The model doesn't hallucinate a past — it retrieves the real one.

▰▰▰▰▰▰░░░░ 65%

Live inference. Streaming frames. Sub-100ms latency targets. The machine doesn't analyze old footage — it sees now.

▰▰▰▰▰░░░░░ 50%

Done using models. Now building models. Fine-tuning weights to solve problems that off-the-shelf LLMs can't touch. Season II looks different.

▰▰▰▰▰▰▰▰▰░ 92%

Didn't join a startup. Built one. From conviction alone: AI should ship, not sit in a paper. bugbiceps.in — remember the name.