With over 12 years of experience at large corporations, my role as a Senior Project Manager involved spearheading a variety of high-budget initiatives across multiple sectors, such as software development and AI-driven diagnostics. My approach was characterized by the strategic implementation of cutting-edge technologies, ensuring operational efficiency and precise data management. This experience highlights my adeptness in handling complex projects with significant financial and temporal scales.
Oversaw the development and implementation of tailored internal software solutions, including CRM, TMS, a Bidding System, and ERP, as well as the customization of WMS and Financial systems, with a total program value exceeding $10 million over approximately 6 years. See here for an example of my software development process and documentation.
Led a pivotal 10-month project to develop and implement a real-time data management system, improving data accuracy by 93% and streamlining error resolution processes. Employed Scrum Agile methodology, ensuring efficient project execution within budget, and fostering a proactive data quality culture across the organization. More here
Successfully led a major project to build a comprehensive enterprise network for a prominent company, covering head office, call center, manufacturing units, and branches. Managed the program from conception to launch, aligning with business strategy and ensuring efficient resource utilization. The project, completed within a $523,000 budget and 9-month timeline, involved setting up robust network infrastructure, server management systems, and advanced security and communication systems. Overcame significant supply chain challenges, demonstrating agility in problem-solving and strategic sourcing. This project showcases my expertise in managing large-scale, multifaceted technology projects, delivering enhanced operational efficiency and data security. More here
Fire evacuation system using drone and IoT technology. This innovative project combined real-time fire detection with dynamic evacuation management, significantly improving emergency response and public safety. My role focused on integrating cutting-edge technologies to ensure efficient operation and seamless data analysis, showcasing the potential of tech-driven solutions in crisis management. More here
A groundbreaking initiative to automate the extraction of detailed information from engineering design PDFs, focusing on object parameters. Utilizing advanced Optical Character Recognition (OCR) and image processing techniques, the project transformed complex, unstructured PDF data into organized, structured formats. Key achievements included automated table parsing, text block extraction, and precise object detection, culminating in highly accurate and usable JSON data outputs. This project exemplifies my expertise in managing and implementing sophisticated data processing solutions in challenging technical environments. More here
A series of innovative projects in Infrastructure, focusing on object and parameter detection using Computer Vision techniques. These projects involved processing point cloud data and images to accurately identify and measure various infrastructure elements. By integrating Python-based computational methods, including DBSCAN, RANSAC, and Contour Detection, we tailored solutions to meet the unique challenges of each infrastructure object. My role encompassed strategic implementation of these technologies, team leadership, and ensuring high-quality, accurate results. This series of projects demonstrated my capability in managing complex, computer vision-driven initiatives, delivering precise and client-focused solutions in infrastructure analysis. More here
As a Project Manager, I spearheaded a transformative project that elevated the field of endoscopic diagnostics by integrating Artificial Intelligence (AI) and Computer Vision. My team and I developed an embedded system using Nvidia Jetson AGX Xavier, focusing on real-time video stream processing for anomaly detection and quality enhancement in endoscopic procedures. This initiative not only improved diagnostic accuracy but also streamlined operational efficiency, representing a significant leap in merging AI technology with healthcare practices. More here
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