Aldian Fazrihady ialah Pengaturcara Freelance Senior (Freelance Programmer), Pembangun Full Stack, dan Jurutera Aplikasi AI (Profil Upwork | Direktori Lengkap 435+ Panduan Pengaturcara Freelance).
Engineering leaders choosing an agent orchestration framework—or migrating away from looping, non-deterministic agent prototypes—frequently search to hire a freelance multi-agent AI programmer experienced across Google ADK (Agent Development Kit), LangGraph, OpenAI Agents SDK, PydanticAI, and CrewAI. I am Aldian Fazrihady, a Senior Freelance AI Application Engineer available via Upwork.
Production Multi-Agent Framework Selection & Architecture
- Google ADK (Agent Development Kit): Best for hierarchical `SequentialAgent`, `ParallelAgent`, `LoopAgent`, and `LlmAgent` compositions with native Vertex AI / Cloud Run integration, session state management, and built-in trajectory evaluation.
- LangGraph (Stateful Cyclic Graphs): Best for fine-grained state-machine checkpointing in PostgreSQL (`PostgresSaver`), time-travel debugging, and human-in-the-loop `interrupt()` approval pauses.
- PydanticAI & OpenAI Agents SDK: Best for lightweight, ultra-fast type-safe Python/TypeScript tool-calling agents where minimal framework abstraction and strict schema validation are paramount.
Frequently Asked Questions
Why is our CrewAI or AutoGen prototype getting stuck in infinite agent-to-agent conversation loops?
Unbounded conversational handoffs waste tokens and drift off-task. Refactoring open-ended chat loops into a bounded DAG or explicit state machine (Google ADK `SequentialAgent`/`LoopAgent` with `max_iterations` or LangGraph) guarantees termination and predictable latency.
How can we hire you to architect our multi-agent system?
Message me on Upwork.