Sai Prasanth G Email & Phone Number
Who is Sai Prasanth G? Overview
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Sai Prasanth G is listed as Software Engineer at Amazon, a with 734811 employees, based in San Jose, California, United States. AeroLeads shows a matched LinkedIn profile for Sai Prasanth G.
Sai Prasanth G previously worked as Software Engineer at Walmart Global Tech and Software Engineer at Dxc Technology. Sai Prasanth G holds Master'S Degree, Computer Software Engineering from San Jose State University.
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About Sai Prasanth G
I am an accomplished Software Engineer with over five years of experience in designing, developing, and deploying scalable and high-performance web applications. My proficiency spans a diverse array of technologies, including Node.js, React.js, and prominent cloud platforms like AWS and Azure. I am deeply passionate about my work and consistently strive for excellence in everything I do.I embrace modern development practices and tools to ensure my code is not only high-quality but also optimise for performance and fortified against security threats. I thrive in Agile environments, where I foster collaborative team dynamics and drive continuous improvement through proactive problem-solving and innovative thinking.As a dedicated and hardworking individual, I approach every challenge with relentless enthusiasm and commitment, continuously seeking to expand my skill set and contribute meaningfully to my team and projects. My fervour for software engineering fuels my drive to create exceptional solutions that make a tangible impact.
Sai Prasanth G's current company
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Sai Prasanth G work experience
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Software Engineer
Software Engineer
server-side logic to support frontend applications.• Implemented state management solutions using Redux and Context API, ensuring seamless data flowand reducing state-related bugs.• Ensured application security by implementing OAuth2, JWT, and secure coding practices, reducingsecurity vulnerabilities.• Conducted advanced research in AI-driven enterprise software development, focusing on the optimization of cloud-based architectures for scalability and… Show more server-side logic to support frontend applications.• Implemented state management solutions using Redux and Context API, ensuring seamless data flowand reducing state-related bugs.• Ensured application security by implementing OAuth2, JWT, and secure coding practices, reducingsecurity vulnerabilities.• Conducted advanced research in AI-driven enterprise software development, focusing on the optimization of cloud-based architectures for scalability and performance.• Developed machine learning models for predictive analytics, leveraging TensorFlow and OpenAI APIs to enhance data-driven decision-making processes.• Designed and implemented time-series data cleansing, normalization, and visualization algorithms, enhancing real-time data accuracy by 25%.• Created technical documentation and presented findings to faculty and industry collaborators, driving actionable insights and innovations.•Collaborated with faculty to deliver technical demonstrations and training on AI applications and architecture.•Developed and deployed RESTful APIs using Spring Boot for microservices architecture, ensuring high performance and scalability across distributed systems.•Implemented dependency injection and aspect-oriented programming (AOP) using Spring Core Annotations, improving modularity and maintainability of the application. Show less
Software Engineer
• Created and maintained RESTful APIs to support various client applications, ensuring high reliabilityand ease of integration using Java and react JS.• Managed deployment and scaling of applications using Azure App Services and Azure KubernetesService (AKS), enhancing scalability and performance.• Developed comprehensive unit and integration tests with JUnit and Mockito, ensuring 95% codecoverage and minimizing bugs in production.• Set up monitoring and logging with… Show more • Created and maintained RESTful APIs to support various client applications, ensuring high reliabilityand ease of integration using Java and react JS.• Managed deployment and scaling of applications using Azure App Services and Azure KubernetesService (AKS), enhancing scalability and performance.• Developed comprehensive unit and integration tests with JUnit and Mockito, ensuring 95% codecoverage and minimizing bugs in production.• Set up monitoring and logging with Azure Monitor and Application Insights, achieving 99.9%application uptime and quick issue resolution.• Automated error detection with 10 scheduled services, reducing manual checks by 70% and saving theteam over 20 hours weekly.• Executed comprehensive performance tuning, analysing bottlenecks and optimizing critical processes,resulting in a 25% reduction in application response times and a notable improvement in usersatisfaction and system efficiency.• Designed scalable REST APIs serving millions of daily users, integrated with Kafka for real-time dataprocessing and seamless communication between microservices.• Managed version control with Git and performed continuous integration and deployment (CI/CD) using Jenkins and Docker.• Set up and monitored application performance using Grafana and Prometheus, allowing real-timemonitoring of system health and proactive troubleshooting of issues.• Implemented security measures in application development such as HTTPS for secure datatransmission, and bcrypt for hashing and salting passwords stored in MongoDB.• Designed and executed comprehensive API tests using Postman to validate RESTful services, ensureendpoint security, and significantly reducing bugs and improving system reliability before deployment. Show less
Colleagues at Amazon
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Tyrece Perkins
Colleague at AmazonLewisville, Texas, United States
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Filiz Ekiz
Colleague at AmazonBursa, Türkiye, Turkey
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Burak Ergün
Colleague at AmazonIstanbul, Türkiye, Turkey
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Sukesh Naik
Colleague at AmazonBhubaneswar, Odisha, India
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Manuel Delgado
Colleague at AmazonSantiago, Santiago Metropolitan Region, Chile
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Josh Freeman
Colleague at AmazonUnited States
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Shamsher Alam
Colleague at AmazonDelhi, India
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Aline Ribeiro Da Silva
Colleague at AmazonCanoas, Rio Grande Do Sul, Brazil
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Joellen Jacobs
Colleague at AmazonCape Town, Western Cape, South Africa
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Martin Pompa
Colleague at AmazonDallas, Texas, United States
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Sai Prasanth G education
Master'S Degree, Computer Software Engineering
Bachelor Of Technology (B.Tech.), Computer Science
Frequently asked questions about Sai Prasanth G
Quick answers generated from the profile data available on this page.
What company does Sai Prasanth G work for?
Sai Prasanth G works for Amazon.
What is Sai Prasanth G's role at Amazon?
Sai Prasanth G is listed as Software Engineer at Amazon.
Where is Sai Prasanth G based?
Sai Prasanth G is based in San Jose, California, United States while working with Amazon.
What companies has Sai Prasanth G worked for?
Sai Prasanth G has worked for Amazon, Walmart Global Tech, Dxc Technology, and Infosys.
Who are Sai Prasanth G's colleagues at Amazon?
Sai Prasanth G's colleagues at Amazon include Tyrece Perkins, Filiz Ekiz, Burak Ergün, Sukesh Naik, and Manuel Delgado.
How can I contact Sai Prasanth G?
You can use AeroLeads to view verified contact signals for Sai Prasanth G at Amazon, including work email, phone, and LinkedIn data when available.
What schools did Sai Prasanth G attend?
Sai Prasanth G holds Master'S Degree, Computer Software Engineering from San Jose State University.
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