Umit Kacar

Senior Machine Learning Engineer in Computer Vision (Mobile, C++, Python) at TECH5

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Umit Kacar's Summary

10+ years Industry Experience on Hands-on Machine Learning in Computer Vision 7+ years Academia Experience (2 Masters, 5+ Doctorate) on Machine learning in Computer Vision * Multidisciplinary Domain (biometrics, medicine, healthcare, agriculture, fintech, film, movie, unmanned vehicles, gaming etc.) * Main Programming Language (Python, C++) * Edge Computing (TinyML, onnxruntime, ncnn, tensorRT, cmake) - Mobile Side (IOS, Swift, Xcode, CoreML, Android, C++, onnx, ncnn, onnxruntime) - Embedded System (STM32, Raspberry Pi, ARM, Nvidia Jetson Nano -TX2) - AI Model Optimization (Pruning, Quantization, Knowledge Distillation, Neural Architecture Search) * Generative AI - Large Vision Models (LVM) (SAM, FastSAM, MobileSAM, EdgeSAM, Grounded-SAM, RAM++, SEEM) - Multimodal (Text, image, audio, LLava, Language Guidance) - Stable Diffusion (text2image, image2image, text2video, image2text, image2video) - LLMs (LLama, Mistral 7B, LoRa, PEFT, Prompt Tuning, RAG) - Generative Adversarial Network (Pix2Pix, StyleGAN) - Variational Autoencoders (VAEs) - Prompt Engineering * Deep Learning (CNN, Vision Transformers, MLP, RNN, AutoEncoder) * Deep Learning Framework (Pytorch, Keras, Tensorflow) * Python Library (Numpy, Pandas, Scikit-Learn, Matplotlib, SciPy) * Object Detection (YOLO, NanoDET) * Object Recognition (Transfer Learning, Resnet, EfficientNet, Vit) * Image Segmentation (Unet, SAM) * Image Processing (OpenCV) * Deployment (Flask, FastAPI, Mobile, Docker) * Multi-Biometrics (Face - Fingerprint - Iris - Sclare - Ear - Voice - Sign - Palm Vein - Palmprint) - Detection, Verification, Recognition, Anti-Spoofing (Liveness), DeepFake, - Image Quality Assessment (IQA) * KYC / AML System (ID Card, Passport, Driver License) - Digital Manipulation & Fraud Detection - Document Detection & Segmentation & Liveness - Document Hologram Detection - Document Image Quality Assessment - Glare & Blur & Noise Detection * Machine Learning Operations (MLOps) * Cloud Computing (AWS, GCP, SageMaker, PaperSpace) * 3D Computer Vision (Lidar) - 3D Face-Ear Recognition & Reconstruction * Face Photo Editor (Beauty Tools) - Image Hair Matting, Image & Video Inpainting - Face, Skin, Hair Segmentation, Background Removal