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.

Sai Lokesh Reddy Gayam

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.

Available to hire

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.

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Experience Level

Expert
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Expert
Expert
Expert
Expert
Expert
Intermediate
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Language

English
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Work Experience

Software Engineer at WashMetrix
May 1, 2024 - June 6, 2024
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%.
Software Engineer 1 at Zemoso Technologies Pvt. Ltd
November 1, 2021 - August 31, 2023
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

Masters at California State University, East Bay
August 1, 2024 - May 31, 2025
Bachelors at CMR Institute of Technology
August 1, 2018 - May 31, 2022

Qualifications

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Industry Experience

Software & Internet, Computers & Electronics, Financial Services, Professional Services, Retail