Itamar Tsayag
Verified Expert in Engineering
Machine Learning Developer
Tel Aviv-Yafo, Israel
Toptal member since February 25, 2022
Itamar is a talented algorithm developer and data enthusiast with expertise in computer vision, machine learning, and statistical analysis. He has successfully deployed cutting-edge algorithms for enhancing IVF cycle efficacy and stroke diagnosis. With a master's degree in electrical engineering and data science, Itamar excels in articulating complex topics and driving impactful results, leveraging his technical prowess and business acumen.
Portfolio
Experience
- Python - 8 years
- PyTorch - 7 years
- Deep Learning - 7 years
- Medical Imaging - 5 years
- Data Science - 5 years
- Algorithms - 4 years
- Research - 4 years
- Computer Vision Algorithms - 3 years
Preferred Environment
Ubuntu Linux, PyCharm, Visual Studio Code (VS Code), Amazon EC2, PIP, Git, Bitbucket, Vim Text Editor, MacOS, Stock Trading
The most amazing...
...experience I've had was researching and developing a neural network compression algorithm for smaller networks with comparable performance.
Work Experience
Machine Learning Engineer
Sanas.ai
- Converted speech models to the ONNX format to enable compatibility across multiple platforms and in real-time streaming.
- Designed a versatile software framework for converting models to an ONNX format.
- Developed a benchmarking system for ONNX models across multiple platforms.
AI Developer
EIN Plus LLC dba GovPlus
- Developed a computer vision pipeline that transformed selfie images into compliant, regulation-ready passport photos for submission to the US government.
- Built the infrastructure for this type of algorithmic pipeline, including Python packaging, asynchronous execution with Asyncio, and latency optimization.
- Served as the central point of expertise for all computer vision algorithm areas within the team. The algorithm successfully replaced a third-party API, leading to significant resource savings for the company.
AI Developer
ONE TO ONE SYSTEMS INC
- Designed and developed an algorithm from scratch that converts body measurements into a CAD file outlining a garment pattern.
- Integrated human body models to extract body measurements, a critical component of the company’s algorithm and pipeline.
- Developed the algorithm to maturity, complete with a user-friendly front end, and was successfully demonstrated in a polished POC that gained positive feedback from investors.
Lead Algorithm Developer
AIVF
- Developed an SW and ML pipeline of the embryo grading algorithm used for enhancing IVF cycle efficacy.
- Worked on an algorithm that leverages cutting-edge video classification and segmentation networks on a complex microscopy image dataset.
- Created an algorithm that was successfully deployed as the flagship product of the company, demonstrating strong expertise in code productization.
Senior Computer Vision Algorithm Developer
Viz.ai
- Developed an algorithm to differentiate between damaged brain tissue to healthy brain tissue in cases of strokes.
- Oversaw the entire project from annotation guidelines, database structure, system architecture, and SW development to training deep learning models.
- Oversaw the SW quality and acted as a tech lead, including code reviews, packaging, and structure.
- Managed the tasks of a ten-member team using Jira. The team included data managers and algorithm developers.
Computer Vision Algorithm Engineer
Defense Companies (Classified)
- Developed an algorithm for the real-time detection of objects in a multisensor video.
- Augmented geographical objects as landmarks on the video images using 3D LLA to 2D coordinates projection.
- Used the algorithm to support detection and tracking, enabling high video frames per second (FPS) and supporting multiple video domains with RGB and thermal infrared images.
Senior R&D Engineer
Magic Leap
- Developed the procedures and algorithms for calibrating a novel time-of-flight (ToF) depth sensor. All calibrations were factory-ready with minimum hardware requirements and high-performance demands.
- Adapted the Eulerian video magnification (EVM) algorithm to estimate the user's heart rate from the Magic Leap headset's eye-tracking cameras. This was part of the initial research into the viability of using the headset for medical purposes.
- Analyzed cross-platform data to enable critical architectural decisions regarding the development of the head-mounted display.
- Developed a method for generating synthesized calibration vectors that enabled performance testing of the head-mounted displays on realistic edge-case calibration scenarios.
Experience
Facial Landmark Detection Using Visual Transformers
Uncovering a Winning Lottery Ticket with Stochastic Gates
EyeRate: Estimating Heart BPM Using AR HMD
Research in the Field of Animation Automation
The first approach centered around harnessing 2D image animation networks. A comprehensive exploration of methodologies falling under this category was conducted to gauge their effectiveness in reducing the time required for animation creation.
Concurrently, the second approach delved into the realm of 3D avatar creation. Notably, the market boasts a variety of sophisticated software capable of infusing lifelike motion into 3D figures. As such, the principal challenge was redirected towards generating 3D avatars from the provided multi-view and multi-pose images of the animated character. This exploration involved techniques adept at seamlessly transforming static images into dynamic, fully-fledged 3D animations, capitalizing on existing motion-enabling software resources.
Education
Master's Degree in Electrical Engineering
Bar-Ilan University - Ramat Gan, Israel
Bachelor's Degree in Electrical Engineering
Tel Aviv University - Tel Aviv, Israel
Skills
Libraries/APIs
PyTorch, Pandas, NumPy, XGBoost, PyTorch Lightning, Scikit-learn, Matplotlib, OpenCV, TensorFlow, Keras, SciPy, OpenAI API, Hugging Face Transformers, FFmpeg, vLLM
Tools
Git, GitHub, Plotly, Algorithm Design, Claude, PyCharm, Jira, Pytest, Cron, Open Neural Network Exchange (ONNX), Microsoft Excel, CAD, You Only Look Once (YOLO), ChatGPT, Bitbucket, Vim Text Editor, Slack, Terraform, Amazon SageMaker, GIS, JMP, PyPI, Apache Airflow
Languages
Python, SQL, C++, C
Platforms
Ubuntu Linux, Amazon EC2, Jupyter Notebook, Visual Studio Code (VS Code), ClearML, Amazon Web Services (AWS), Linux, AWS Lambda, Google Cloud Platform (GCP), MacOS, Docker, NVIDIA CUDA, Vercel, Ollama
Frameworks
Streamlit, MediaPipe, OpenCL
Paradigms
Functional Programming, Unit Testing, Object-oriented Programming (OOP), Automation, Test-driven Development (TDD), Distributed Computing, Testing, Synthetic Data Generation, DevOps
Storage
JSON, Amazon S3 (AWS S3), Databases, Data Pipelines
Industry Expertise
Healthcare, Applied Statistics
Other
Image Processing, Deep Learning, Machine Learning, Software, Medical Imaging, Computer Vision, Data Science, Convolutional Neural Networks (CNNs), Artificial Intelligence (AI), Classification Algorithms, Artificial Neural Networks (ANN), Neural Networks, CSV, Data Analysis, Data Visualization, Monte Carlo Simulations, Random Forests, Supervised Machine Learning, Data Scientist, Startups, Object Detection, CSV File Processing, Machine Vision, Minimum Viable Product (MVP), Model Development, AI Model Training, Machine Learning Algorithms, Neural Network Pruning, Developing AI Models locally, Data Classification, Image Segmentation, DICOM, Training, Software Engineering, Digital Signal Processing, Probability Theory, Research, Computer Vision Algorithms, Calibration, PIP, Algorithms, Analytics, Depth Sensors, Software Architecture, Image Analysis, 3D Pose Estimation, APIs, Decision Trees, Statistics, Jupiter, Fine-tuning, AI Programming, Codebase Development, Image Recognition, JupyterLab, 2D, GPU Computing, Graphics Processing Unit (GPU), 2D Modeling, Machine Learning Operations (MLOps), Deep Neural Networks (DNNs), Facial Recognition, Data Loading, Machine Learning Automation, Videos, Data Extraction, Visualization, Health, Data Analytics, Statistical Analysis, XLSX File Processing, Data Cleansing, Data Structures, Data Modeling, Regression Modeling, Large Data Sets, Parallelization, Feature Engineering, Cloud, Pattern Recognition, Writing & Editing, Content Writing, Numba, Python Performance, API Integration, Transformers, Technical Leadership, Data Scraping, Physics, Optical Systems, AI Modeling, AI Research, CSV Export, ONNX Runtime, Infrastructure, Data Inference, AI Consulting, Virtual Reality (VR), AI Integration, Augmented Reality (AR), Quantization, Hugging Face, model quantization, Recurrent Neural Networks (RNNs), Pose Estimation, Data Processing, 3D Image Processing, Signal Processing, MLflow, Benchmarking, Optical Character Recognition (OCR), Data Labeling, Large Language Models (LLMs), ChatGPT API, ChatGPT Prompts, OpenAI, OpenAI GPT-4 API, Prompt Engineering, Retrieval-augmented Generation (RAG), HIPAA, eye-tracking, Biomechanics, Eye Tracking, Machine Learning Infrastructure Engineer, Open-source LLMs, Optimization, Linear Algebra, Calculus, Applied Mathematics, Hardware, Statistical Methods, Sensor Fusion, Sensor Data, Optical Sensors, Simulations, Architecture, Video Processing, Estimations, Google Colaboratory (Colab), Team Leadership, Back-end, Back-end Development, AWS DevOps, 3D, Consulting, Embryology, NN Compression, Integration, Data Reporting, Optimization Algorithms, Generative Adversarial Networks (GANs), Natural Language Processing (NLP), Avatars, Motion AI, Computer Graphics, Stock Trading, Data Engineering, Digital Elevation Models, Scraping, Chief AI Officer, Production, Electrical Engineering, Real-time Data, Meta Llama, Web Scraping, LSTM Networks, FastAPI, Mathematics, Qwen
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