Bio

Hi, I'm Ayesh. I'm Co-Founder & CTO at CVision, building production AI at the intersection of efficient edge computing, industrial computer vision, and applied ML. I ship low-latency inference on embedded hardware, high-precision factory CV, LLM alignment and evaluation pipelines, and AI-driven operational intelligence—serving US and EU clients across retail, logistics, and manufacturing.

I lead technical strategy, systems architecture, and end-to-end delivery from prototype to deployed product. I believe AI progress will come from efficiency, robustness, and specialized models—not ever-larger architectures.

My Work & Research

My research interests center on two areas: efficient edge AI and hardware-aware learning—low-latency inference, constrained compute/power, deployment on accelerators and embedded hardware, with brain-inspired and neuromorphic approaches when they improve efficiency under real-time constraints; and computer vision, vision-language models, and physical AI for industrial automation and robotics—multimodal perception, scene understanding, and closed-loop behavior on factory floors and in field-deployed robotic systems.

This perspective is grounded in production reality. I built and deployed edge ML and computer vision systems for industrial customers at a YC-backed company, where robustness and uptime mattered more than leaderboard metrics. I designed RLHF evaluation pipelines at Anthropic for Claude, and now as a founder and CTO, I operate at the boundary between research and deployment, using real systems to pressure-test ideas. The goal is not theoretical elegance, but architectures and software stacks that actually survive in the field—where efficiency, reliability, and long-term deployability are non-negotiable.

My Background

Outside of work, I write regularly—blogs and social posts on X and Instagram—sharing thoughts on the industry, art, poetry, and life. I co-founded the NUST Stray Animals Club and served as General Secretary, organizing healthcare drives, fundraisers, and shelter operations. I was also an Event Organizer at the NUST Science Society for the flagship annual science event. I have a deep appreciation for music and the arts; they keep me grounded and remind me there is more to the human experience than the systems we build.