Amir Mahla — AI Researcher

I build end-to-end AI agent solutions, specializing in modeling, data pipelines, and autonomous agentic systems. My expertise spans from pre-training LLMs and VLMs to post-training optimization and production deployment. Current Focus: Developing agent systems (models, frameworks, and agentic environments) that bridge research and real-world applications. I tackle post-training challenges, apply data strategies, conduct agentic evaluation and benchmarking, and integrate full-stack agent solutions. My approach combines technical depth with strategic execution: pushing boundaries in ML research while building scalable solutions. I focus on the hard integration problems that make AI agents actually work in complex environments like computer use and robotic systems that combine multiple modalities (text, vision, speech). Always learning, always building, always pushing limits.

Stackforce AI infers this person is a skilled AI engineer specializing in multimodal systems and agentic models.

Experience: 10 yrs 2 mos