Srinivasan D
Assistant System Engineer @Tata Consultancy Services
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WORK HISTORY
Assistant System Engineer @Tata Consultancy Services
Implement a Generative AI solution in Azure DevOps Pipeline to automatically detect build failures, analyze root causes, and suggest resolutions. The system autonomously creates detailed work items in Azure Boards for efficient issue tracking and remediation. Implemented JMeter-based load testing automation, streamlining the process from 200 manual testers to a single operator and achieving a 98% reduction in manual effort. Generated reports by integrating Python libraries such as Pandas with SQL queries, streamlining data analysis, and reporting processes. Developed and optimized FAST API endpoints, integrating them into front-end applications with a focus on time complexity and performance to ensure seamless functionality and scalability. Enhanced application performance by implementing multiprocessing in Python, effectively reducing execution time and improving resource utilization. Created responsive web pages using HTML,CSS,Javascript and React js. Improved database response time by implementing indexing, views, and partitioning strategies, optimizing query performance, and overall system efficiency.
EDUCATION
Easwari Engineering College(SRM Group)
Bachelor of Technology - BTech
ABOUT SRINIVASAN D
I’m a Full-Stack Developer and Gen AI enthusiast with a strong background in building intelligent automation and performance-optimized applications. I recently implemented a Generative AI solution within Azure DevOps that automatically detects build failures, analyzes root causes, and creates actionable work items in Azure Boards—streamlining the entire issue resolution process.My experience spans developing scalable APIs and integrating them seamlessly into front-end applications, with a strong focus on performance and time complexity. I’ve worked extensively with Python, leveraging libraries like Pandas alongside SQL to automate data analysis and reporting workflows. To enhance performance in compute-heavy processes, I’ve implemented multiprocessing in Python, significantly reducing execution time and improving resource utilization.On the frontend, I’ve created responsive user interfaces using React.js, HTML, CSS, and JavaScript. I’ve also optimized database performance by applying indexing, views, and partitioning techniques. My work in performance testing with Apache JMeter has automated previously manual processes, achieving a 98% reduction in effort.I’m passionate about blending Gen AI capabilities with full-stack development to build systems that are not only efficient and scalable but also intelligent and proactive.Currently exploring GCP and cloud-native AI to take products from prototype to scale.
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