Ilan Sinai

Ilan Sinai Gilboa 19A Pardes Hana – Karkur 37151 ISRAEL 972 --Executive summary: • Experienced in initiating and leading processes, motivating and guiding employees. • Diverse and extensive experience in multidisciplinary methodologies. • Effective interaction with various disciplines and stakeholders both within and outside the organization. • Original thinker with problem-solving abilities while adhering to organizational constraints. • CE/FDA submissions, ISO’s, V&V, DHF, DMR, R&D through commercialization. • Deep knowledge of Generative AI, DL, ML & computer vision. • Deep hands-on experience in algorithmic development for motion planning, robotic kinematics, and control systems across multidisciplinary med-tech applications. 2023 – Present: Developer – GlionAI Btx • Evaluating and integrating Genomic Foundational Models (GFMs) and protein Language Models (pLMs) for protein–protein interaction (PPI) prediction. • Created intelligent NLP solutions by combining Agentic AI and fine-tuned LLMs to power tasks such as prediction, classification, and clustering in real-world data pipelines. • Biomarkers detection from RNA Neurodegeneration data using Large Language Models (LLM), Deep Learning, ML & statistical models on small cohorts. • Automatic detection of contagious patients using Graph Neural network (GNN) and various message propagation algorithms. Heterogeneous Big Data that mapped to a complex SW architecture. • Replacing Iodine Contrast agent in Mammography using contrastive generative deep learning. • Winning a budget from the Israel Innovation Authority (IIA). 2017 – 2022: Algorithms & Data Leader – Sweetch Digital Health • Built and led the algorithms team with a culture of agility and delivery. • Developed ML algorithms for metabolic disease prediction using biomarkers. • Applied reinforcement learning to personalize interventions. • Contributed to grant writing, partnerships, and product innovation. Tech stack: Python, TensorFlow, AWS, PostgreSQL, Android/iOS sensor connectivity. 2015 – 2017: Algorithms & data leader – Emerald Medical • Developed computer vision & big-data algorithms for skin lesion detection. • Delivered MVP and productized algorithms to dermatology clinics. • Led PoC and patent generation efforts. • Collaborated with marketing, QA, and clinical teams. Tech stack: Python, Matlab, OpenCV, Spark, Azure. Technical Expertise: • Algorithms: Image processing, computer vision, DL, ML, signal processing, tracking, generative models, Tracking, Optimizations, Reinforcement Learning, GNNs. • Medical Imaging: Mammography, dermatology, ultrasound, respiratory signals, 3D imaging. • SW: Python, Matlab, OpenCV, TensorFlow, PyTorch, C++. • Physics & Imaging: Acoustics, ultrasound propagation, tomography, optics, focus/scattering physics. • HW Tools & Platforms: RF, robotic arms, motorized stages, microscopes, motion controllers, sensors (thermocouples, CMOS/TFT, ECG, acoustics, Glucose), microcontrollers, and imaging devices • Environments: Cloud (AWS/Azure), Edge (iOS/Android), embedded systems, Linux. Education: Hebrew University: Master of Science (M.Sc.) in Physics. Published several articles in professional magazines, wrote several patents.