I am Vijay Gangayadi Venkatesh, a Software Development Engineer at Amazon with expertise in web application development, data science, and cloud technologies. I have contributed to projects such as the Alexa Lab and Consumer Managed SageMaker Studio, focusing on improving workflows, reducing latency, and enhancing user experience. I hold a Master's in Computer Science from the Rochester Institute of Technology and am skilled in Java, Typescript, Python, and AWS services like S3, Lambda, and DynamoDB. I am passionate about building impactful, innovative solutions that drive efficiency and improve technology processes.
Courses: Object-Oriented Programming, Database Management Systems, Computer Network, Digital Signal Processing, Image, and Video Processing
Courses: Topics in Data Management, Big Data Analytics, Database System Implementation,Introduction to Big data, Foundation of Artificial Intelligence, Foundation of Algorithms, Foundation of Computer Vision, Introduction to Machine Learning, Introduction to Computer Graphics.
• Played a key role in the Operations team, working on a web-based application using C# and MySQL for databases.
• Optimized code and collaborated with developers to fix bugs, ensuring smooth operations.
• Led the creation of a consistent database schema across all application pages.
• Received a monetary award for resolving over 200 user tickets, showcasing effective problem-solving skills.
• Directed a project in hospital data that signifcantly improved infection prevention effciency, resulting in a 20% reduction in outbreak response time.
• Orchestrated the end-to-end data process—collection, cleanup, and loading into Amazon RDS using Amazon Lambda—resulting in enhanced data processing speed.
• Applied K-means clustering to categorize hospitals, leading to increased accuracy in identifying high-risk areas and outbreaks.
• Developed user-friendly visualizations with Amazon RDS and QuickSight, contributing to improved stakeholder understanding of complex hospital and genomics data.
• Contributed to the development of a web application for Alexa Lab, enabling A/B experiments for developers.
• Developed a specialized console for Alexa Data Scientists, streamlining workflows and simplifying AWS resource management.
• Implemented a collaborative workspace, fostering seamless resource sharing and teamwork among team members and integrated Consumer Managed SageMaker Studio features into the console for a comprehensive user experience.
• Emphasized time savings, reduced latency, and overall workflow improvement in the integrated solution.
• Contributed to the design and development of the Consumer Managed SageMaker Studio application, prioritizing user experience enhancements.
• Collaborated with the product team as a Technical consultants for multiple workshops and resolved 122 tickets in the past year.
• Contributed to the design and development of the Lighthouse web application, supporting recruiters in the hiring process.
• Implemented key email functionality and developed two critical APIs to enhance system capabilities.
• Played a significant role in operational readiness by participating in reviews and ensuring the application met all requirements.
• Actively handled on-call responsibilities, addressing issues and ensuring smooth system operations.
Far far away, behind the word mountains, far from the countries Vokalia and Consonantia
Far far away, behind the word mountains, far from the countries Vokalia and Consonantia