Solely responsible for the comprehensive management and upkeep of the NYQC corporate website (nyqc.ca), ensuring optimal performance, user engagement, and up-to-date content. Proactively handle all aspects of website administration, including content updates, layout modifications, and troubleshooting to enhance user experience and adhere to the company’s digital presence goals. Implement responsive design principles to ensure the website operates efficiently across various platforms and devices, thereby maximizing accessibility and user satisfaction. Regularly collaborate with marketing, IT, and design teams to align website updates with current company campaigns, product launches, and corporate strategies. Monitor website traffic and user engagement metrics using tools like Google Analytics, providing monthly reports to stakeholders and using insights to guide improvements. Oversee the security aspects of the website, implementing measures to protect against potential threats and ensuring compliance with data protection regulations. Continuously explore and integrate new web technologies and tools to keep the website dynamic and competitive in the fast-evolving digital landscape.

Conducted weekly team meetings to coordinate tasks, review progress, and foster collaborative problem-solving among team members. Maintained constant communication with senior developers through work chat forums, ensuring seamless updates on work progress, challenges, and milestones. Focused on risk management for an artificial intelligence-based app designed for live online sports betting, enhancing the reliability and integrity of the platform while ensuring the gross gaming yield was maintained by manipulating the vigorish. Developed and maintained scripts in Python to manage gross gaming yield, vigorish and risk management as a whole by adjusting the game take from bettors as necessary to optimize profitability while maintaining fair play standards. Provided real-time analytics based on players' responses, leveraging data to inform dynamic adjustments in the sportsbook and improve the user experience. Completed in-depth research to refine algorithms and ensure accurate, timely processing of betting data. Monitored and analyzed simulated user interactions with the app, using insights to drive continuous improvements in functionality and user engagement. Worked with dockerized containers, python, linux and kafka topics.

Developed and implemented 30 robust WebScrapers using Selenium WebDriver and Java, designed to efficiently parse multiple websites for relevant links, significantly enhancing the data acquisition capabilities of the application. Engineered scripts to automate the collection and extraction of URLs, facilitating seamless data flow into the application for further processing and analysis. Conducted thorough quality assurance checks using RabbitMQ to monitor and verify the integrity and accuracy of data (URLs) sent to the application, ensuring reliable system performance and data consistency. Actively engaged in knowledge transfer by mentoring a junior intern, providing comprehensive training in the use of Selenium and Java for creating effective WebCrawlers, thereby accelerating the intern’s productivity and skill development. Collaborated closely with a dynamic team of developers and IT professionals in a fast-paced environment, contributing to the project’s success by meeting critical deadlines and adhering to technical standards.

Managed the operation of two advanced wafer check machines within a controlled cleanroom environment, ensuring high standards of cleanliness and functionality were consistently maintained.Conducted regular cleaning and maintenance of precision optical filters to prevent contamination and ensure optimal performance in line with stringent industry standards. Troubleshot and resolved issues with equipment and process discrepancies, notably identifying and rectifying instances where chipped, dirty, or otherwise compromised filters were mixed with clean batches, thereby safeguarding product quality. Enhanced the efficiency and accuracy of filter handling by adjusting the specifications of the automated lifting program, including recalibration of the lifting vacuum's force settings to optimize machine performance and reduce the risk of damage to delicate components. Documented operational procedures and machine adjustments meticulously, contributing to a knowledge base that supports continuous improvement and training initiatives within the lab.