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I’m Durga Shankar, a software professional with a strong grounding in cloud-native development, data-driven ML, and scalable web platforms. I enjoy turning complex problems into robust systems, from designing serverless workflows to building performant front-end components for modern web apps. I’m currently pursuing an MS in Computer Science at George Mason University, with hands-on experience across AWS, GCP, and Azure, and full-stack work in Python, JavaScript, and SQL. I love collaborating with teams to deliver reliable, measurable outcomes, and sharing knowledge through tutorials and lab sessions.…I’m Durga Shankar, a software professional with a strong grounding in cloud-native development, data-driven ML, and scalable web platforms. I enjoy turning complex problems into robust systems, from designing serverless workflows to building performant front-end components for modern web apps. I’m currently pursuing an MS in Computer Science at George Mason University, with hands-on experience across AWS, GCP, and Azure, and full-stack work in Python, JavaScript, and SQL. I love collaborating with teams to deliver reliable, measurable outcomes, and sharing knowledge through tutorials and lab sessions.

Durga Shankar

Full Stack Developer, Back-End Developer, Front-End Developer, +2

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I’m Durga Shankar, a software professional with a strong grounding in cloud-native development, data-driven ML, and scalable web platforms. I enjoy turning complex problems into robust systems, from designing serverless workflows to building performant front-end components for modern web apps. I’m currently pursuing an MS in Computer Science at George Mason University, with hands-on experience across AWS, GCP, and Azure, and full-stack work in Python, JavaScript, and SQL. I love collaborating with teams to deliver reliable, measurable outcomes, and sharing knowledge through tutorials and lab sessions.…I’m Durga Shankar, a software professional with a strong grounding in cloud-native development, data-driven ML, and scalable web platforms. I enjoy turning complex problems into robust systems, from designing serverless workflows to building performant front-end components for modern web apps. I’m currently pursuing an MS in Computer Science at George Mason University, with hands-on experience across AWS, GCP, and Azure, and full-stack work in Python, JavaScript, and SQL. I love collaborating with teams to deliver reliable, measurable outcomes, and sharing knowledge through tutorials and lab sessions.

Available to hire

I’m Durga Shankar, a software professional with a strong grounding in cloud-native development, data-driven ML, and scalable web platforms. I enjoy turning complex problems into robust systems, from designing serverless workflows to building performant front-end components for modern web apps.

I’m currently pursuing an MS in Computer Science at George Mason University, with hands-on experience across AWS, GCP, and Azure, and full-stack work in Python, JavaScript, and SQL. I love collaborating with teams to deliver reliable, measurable outcomes, and sharing knowledge through tutorials and lab sessions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Work Experience

Graduate Teaching Assistant - Cloud & AI Infra IT 442 at George Mason University

January 1, 2025 - Present

Mentored 200+ students on AWS, Azure, GCP such as AWS BigQuery, EC2, AWS CDK, Lambda, Azure OpenAI, Docker, and GC Functions, Vertex AI delivering hands-on lab experiments. Published 31 technical resources on system design, distributed system patterns, and Kubernetes orchestration tutorials with weekly office hours, increasing student engagement.

Software Development Engineer at Paytm

August 1, 2023 - August 1, 2024

Boosted mobile conversions by 24% by contributing to P90 load times reduction from 1.9s to 800ms by engineering a centralized Django Redis caching layer and implementing React Native code splitting. Resolved dashboard timeouts and reduced query execution times to 500 ms by analyzing and optimizing execution plans of complex SQL queries for AWS Redshift data pipelines. Reduced frontend regression bugs in Q2 2024 and accelerated feature delivery velocity by 20% by architecting reusable component libraries for 35+ modules, enforcing strict 80% Jest test coverage. Achieved 98% build success and cut release cycles by 33% by designing shared CI/CD pipelines for 160+ microservices using Jenkins, GitHub Actions, and SonarQube quality gates.

Software Engineering Intern at AICTE

January 1, 2023 - June 1, 2023

Developed an automated ticket classification system using Scikit-learn to process 100K+ records, achieving 95% accuracy and reducing manual task effort by 70%. Optimized API response times by 65% for a SARIMA-based forecasting microservice by refactoring XML parsing logic in Node.js to improve data ingestion efficiency.