Sai Lokesh Reddy Gayam
js, and Python. I thrive on designing secure microservices and AI solutions deployed on cloud infrastructure, constantly aiming to optimize system performance and reduce costs.
About
Hi, I’m Sai Lokesh Reddy Gayam, a passionate Full Stack Software Engineer with over 3 years of experience building scalable and efficient applications using React, Node.js, and Python. I thrive on designing secure microservices and AI solutions deployed on cloud infrastructure, constantly aiming to optimize system performance and reduce costs. I enjoy collaborating with cross-functional teams to deliver projects on time and enhance user engagement.
In my recent roles, I have worked on developing dynamic analytics platforms, mentoring junior developers, and deploying AI-powered chatbot solutions that improve productivity and reduce repetitive tasks. I’m always eager to learn and implement new technologies, especially in AI and cloud computing, to solve real-world problems effectively.
- 1 year's experience
- Joined May 2025
Skills· 14
Languages
- EnglishAdvanced
Industry experience
- Software & Internet
- Computers & Electronics
- Financial Services
- Professional Services
- Retail
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Work experience
Developed and optimized a React-based analytics platform with dynamic dashboards and real-time data visualization, boosting user engagement by 25%. Engineered scalable backend services using Python and Node.js integrated with React frontends, implementing reusable components and microservices that accelerated development timelines by 15%. Implemented comprehensive testing with Jest and Pytest achieving 90% coverage, enhancing system reliability and reducing production bugs by 20%. Collaborated within cross-functional teams to ensure timely completion and successful project delivery, achieving 100% on-time delivery rate. Architected and automated ETL pipelines using Python and SQL to extract data from POS systems into cloud databases, improving data processing efficiency by 20%.
Engineered scalable React components and optimized GraphQL schemas with RESTful APIs, reducing response time by 30%. Mentored three junior developers on React and backend best practices and conducted rigorous peer code reviews, increasing code quality metrics by 15% and accelerating onboarding. Integrated Amazon S3 and QuickBooks APIs into a modular event-driven architecture, enhancing product functionality and increasing user satisfaction by 20%. Designed and implemented CI/CD pipelines with automated testing and Docker, reducing development cycles by 40% and enabling 25% more frequent deployments. Deployed and managed application components on AWS EC2 and S3 using Docker and Kubernetes (EKS), implementing auto-scaling to handle 30% traffic spikes and reducing cloud costs by 15%.
Education
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