Amr K.

If you’re building a startup or MVP that depends on AI or Computer Vision, your biggest risk isn’t the model, it’s shipping something that breaks, stalls, or never makes money. That’s where I come in. I help founders and business owners turn AI ideas into working, production products fast, predictably, and without burning cash on endless experimentation. I don’t just write code. I design AI systems that survive real users, messy data, and investor scrutiny: ⚫Image recognition and tracking ⚫Real-time video analytics ⚫End-to-end deep learning pipelines ⚫Deployment, monitoring, and scaling (MLOps) Why founders hire me This year alone, I worked with 8 startups: ⚫3 reached pre-seed ⚫1 raised $5M+ for an AI product ⚫1 sold their MVP for $1.25M My focus is simple: build AI that either makes money, reduces costs, or proves the business case fast. How I work ⚫Business-first POCs before scaling ⚫Clean data pipelines, model versioning, monitoring, and deployment ⚫Clear communication, no ML jargon, no black boxes ❗Note❗If the final result doesn’t match what we agree on, you get a full refund. No arguments. If you’re serious about shipping AI, not running experiments forever, we should talk. Keywords: Computer Vision, Deep Learning, OCR, Data Science, LLM, Artificial intelligence, machine learning, object detection, object tracking, instance segmentation, semantic segmentation, image stitching, super resolution, image processing, morphology, OpenCV, TensorFlow, TensorFlow-light, PyTorch, Python, C++, YOLO, StyleGAN, GAN, Performance Optimization, speedup, Tesseract OCR, OCR, Google Cloud Vision API, ChatGPT API, GPT, Google Cloud Platform, Stable Diffusion, SD, 3D, Point Cloud, camera calibration, stereo vision, SLAM, math, algorithms, Clustering, OPTICS, DBSCAN, Kalman filter, accuracy evaluation, data annotation, data labelling, SIMD, ARM-NEON, DSP, GPU, Git, Valgrind, cMake.