π‘ "building the agents that shape future..."
name: Mohammad Asadolahi
role: Senior Agentic AI Engineer
education:
degree: PhD in Computer Science (waiting to join)
university: University of North Texas
focus: Agentic AI Architectures In The Wild
research_interests:
- Multi-Agent LLM Orchestration & Tool-Use
- Autonomous AI Agents & Agentic RAG
- Reinforcement Learning (RLHF, DPO, DDQN, SAC, TD3, DDPG)
- Evolutionary & Heuristic Optimization
- Serverless AI Infrastructure
current_work:
- Designing production-grade agentic LLM architectures
- Building highly scalable Copilot data integration
- Contributing to mem0ai β memory layer for AI agents
- Researching meta-learning for building more efficint RAG's
open_to: Research collaborations in Agentic AI & LLMs
