Bio
Ayesh is Co-Founder & CTO at CVision, building production AI at the intersection of efficient edge computing, industrial computer vision, and applied ML. His work spans 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. He leads technical strategy, systems architecture, and end-to-end delivery from prototype to deployed product.
Education & Industry
Co-founded CVision and lead AI-first automation for clients across the US and EU. Built the founding engineering team and shipped production systems generating $10K+ in first-month revenue. Scaled the company to $80K ARR in under 1 year with a team of 8, now driving a strategic pivot toward deep-tech and efficient computing for industrial use cases.
Designed and deployed AI automation pipelines that reduced manual operational effort by up to 70% for clients in operations and logistics. Scoped, built, and delivered 3+ production-ready AI systems end-to-end—from discovery and architecture through deployment and stakeholder handover.
ML, CV & SW Design Engineer at Cowlar (YC W17). Automated factory operations for ViaPhoton, boosting production capacity by 40x. Built an ML/CV system achieving 96% precision at 5μm alignment. Contributed to the Fiber Organizer Robot patent and led the Al Meera Smart Cart to 95% real-time accuracy on Qualcomm NPU.
Prompt Engineer (Contract) at Anthropic. Designed and operated an RLHF evaluation pipeline for Claude 3.5 Sonnet and Haiku, targeting adversarial coding tasks. Contributed to a 15% lift in coding benchmark performance.
B.E. Software Engineering at NUST (GPA: 3.21/4.0). Final-year project evolved into CVision. Coursework spanning ML, LLMs, reinforcement learning, and deep mathematical and systems foundations.
Blogs
I write about edge AI, efficient computing, the intersection of research and product, my founder journey, problems in the industry, life, and more. Here's some of my favorite posts:
Dec 2025 Why Neuromorphic Computing Matters for Edge AI
May 2025 The Unfair Advantage (and Issue) with Pakistan's Software Industry
Dec 2024 The Gap Between Research and the Market
Projects
Neuromorphic SDK — Developed an ecosystem for deploying SNNs onto neuromorphic hardware, packaged into an SDK. Built with Python, C++, Xilinx, PyTorch, hls4ml, rustworkx, HDF5, Wasm, and SpiNNaker.
Fiber Organizer & Termination Line Robot — Contributed ML/CV optimizations cutting cable sorting cycle time from 3 minutes to 8 seconds. Built with Python, PyTorch, OpenCV, ONNX, MLflow, Docker, FastAPI.
Smart Cart — Led smart cart action recognition to 95% real-time accuracy, deployed on Qualcomm NPU and in the cloud. Built with TensorFlow, MoViNet, MQTT, MLflow, NGINX, Docker.
Publications
Neuromorphic Intermediate Representation for T1C Hardware
Feb 2026 · pypi.org/project/t1c-ir
Murat Isik, Ayesh Ahmad, Subham Das, Anurag Daram