AI Scientist with 3+ years in computer vision, operations research, and end-to-end AI/ML pipelines. Over 4+ years in academia specializing in new unsupervised learning and inversion algorithms. Innovator with production-ready solutions, patents, publications, and certifications in AWS, GCP, and Databricks. 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞: Machine Learning Algorithms (Supervised & Unsupervised), Deep Learning (TensorFlow, PyTorch), Computer Vision (Semantic & Panoptic Segmentation, 3D Vision, Edge Vision, Video Processing), Mathematical Optimization, MLOps, Data Wrangling, Statistical Analysis, Data Visualization. 𝐓𝐞𝐜𝐡 & 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬: Cloud Platforms (AWS: SageMaker, EMR, EC2, ECS, SNS; GCP: Vertex AI, BigQuery), Databricks, Python (ORTools, PyMC3, OpenCV, PySpark), Tensorflow, PyTorch, HuggingFace, Apache Spark, SQL, Docker, Terraform, Linux, Tableau, Jupyter Notebook, MATLAB, ROS, C++. 𝐏𝐞𝐫𝐬𝐨𝐧𝐚𝐥 𝐀𝐭𝐭𝐫𝐢𝐛𝐮𝐭𝐞𝐬: • Analytical and rigorous, like both an engineer and a scientist. • Disciplined and team-oriented, akin to an athlete. • Confident and mindful leader who values humility. 𝐷𝑖𝑠𝑐𝑙𝑎𝑖𝑚𝑒𝑟: 𝐸𝑣𝑒𝑟𝑦𝑡ℎ𝑖𝑛𝑔 𝐼 𝑝𝑜𝑠𝑡 𝑜𝑛 𝐿𝑖𝑛𝑘𝑒𝑑𝐼𝑛 𝑖𝑠 𝑚𝑦 𝑝𝑒𝑟𝑠𝑜𝑛𝑎𝑙 𝑜𝑝𝑖𝑛𝑖𝑜𝑛 𝑎𝑛𝑑 𝑑𝑜𝑒𝑠 𝑛𝑜𝑡 𝑟𝑒𝑝𝑟𝑒𝑠𝑒𝑛𝑡 𝑚𝑦 𝑒𝑚𝑝𝑙𝑜𝑦𝑒𝑟.