Managed integration of advisory cashflow data for a top-tier financial firm using Python, SQL, and AWS, enhancing ETL efficiency with frameworks like Glue, EKS, and EC2. Orchestrated seamless data lake workflows to optimize organizational data utilization and integration, ensuring efficient data management across platforms. Managed a global top banking migration project, overseeing ETL pipelines and managing infrastructure, security, and DevOps processes to ensure robust data handling and compliance. Implemented comprehensive infrastructure management across on-premises and AWS environments, integrating API calls for streamlined processes and system interoperability. Managed AWS infrastructure updates to improve system performance, reliability, and scalability in high-stakes banking environments. Implemented scheduling and mailing systems, and enhanced security.

Orchestrated the end-to-end development of numerous desktop and web applications as a Python developer integrating advanced image processing and AI algorithms, including Autofocusing and Pattern Capturing. Managed AWS services and RDS Database, optimizing data handling for robust application performance and scalability. Specialized in deep learning, creating state-of-the-art object detection and image classification models, tailored for pathological data and optimized for performance using PyTorch. Collaborated with interdisciplinary teams including pathologists and engineers to deliver innovative solutions, enhancing medical diagnostics through advanced computer vision technologies.