Development Engineer Software

SRI HARI NASYAM

Software Development Engineer

CA 301 - 291 - 7438 ***********@*****.***

SUMMARY

Software Development Engineer with 5 years of experience designing, developing, and optimizing scalable, high-performance applications. Proficient in building RESTful and GraphQL APIs using FastAPI, Django, and Graphene, improving system response times by up to 30% and reducing API calls by 15%. Skilled in data processing with Pandas, NumPy, and MongoDB, enabling efficient analysis and storage of large datasets. Optimized PostgreSQL queries, achieving a 25% reduction in execution time, and implemented Redis caching solutions, boosting performance by 40%. Experienced in containerization with Docker and Kubernetes, as well as CI/CD pipeline automation using Jenkins and Git, reducing deployment errors by 20%. Leveraged AWS

(EC2, S3) and GCP (Cloud Functions, BigQuery).

SKILLS

Programming Languages: Python, Golang, JavaScript, SQL, Java Frameworks & Libraries: Django, Flask, FastAPI, Pandas, NumPy, Scikit-learn Web Development: RESTful APIs, GraphQL, HTML5, CSS3 Database Technologies: PostgreSQL, MySQL, MongoDB, Redis Cloud & DevOps: AWS (EC2, S3, Lambda), GCP, Docker, Kubernetes, CI/CD (Jenkins, GitHub Actions) Tools & Platforms: Git, Jira, Postman, Linux, Bash Testing: Unit Testing (PyTest, Unittest), Integration Testing, TDD Soft Skills: Problem-solving, Team Collaboration, Agile/Scrum, Effective Communication Other: Data Structures & Algorithms, Microservices Architecture, Performance Optimization EDUCATION

Master's in Science in Informatics May 2025

Saint Louis University, Saint Louis, MO

EXPERIENCE

ServiceNow, CA Nov 2024 – Current Software Development Engineer

• Developed and maintained scalable RESTful APIs using FastAPI, improving system response time by 30% for critical customer-facing applications.

• Built scalable data pipelines to scrape data and publish transformed data to downstream services through SQS increasing throughput by 5% and enhanced overall system resilience.

• Leveraged Adaptive polling by spuning custom go routines to process data from SQS has increased speed by 3x.

• Implemented jenkins pipelines to streamline the process of unit testing, code containerizing, publishing build images to registry and deploying to the cluster has reduced delivery time by 80% ensuring consistent releases.

• Engineered Kubernetes operators in golang for running cron jobs, automating health checks and data publication to Kafka, enhancing system reliability.

• Enhanced application observability by setting up Prometheus, Grafana dashboards facilitating ease of debugging through logs, metrics, alerts.

Cognizant, India Jul 2021 - Jul 2023 Software Developer

• Designed scalable RESTful APIs in Python, adhering to design principles, improving code reusability and maintainability, and also integrated OAuth with role-based access control (RBAC), which has cut unauthorized access by 50%.

• Optimized API performance by fine-tuning database queries and configuration through systematic troubleshooting, reducing response time by 5% and cutting overall resource usage by 20%.

• Revamped the locking mechanism for bulk data operations, improving concurrency and boosting the migration speed of 90 million records by 20%.

• Conducted 30+ PR reviews, enhancing code quality and readability, resulting in <5% of bugs in the implementation.

• Authored detailed API documentation in Swagger, improving developer onboarding efficiency and integration timelines by 25%.

• Actively participated in sprint planning, architectural discussions, and code reviews to ensure alignment with project goals, cross-team collaborations, and delivery timelines while leveraging Jira and Confluence. Virtual Infotech Solution, India March 2019 – June 2021 Software Development Engineer

• Built and maintained GraphQL APIs using Django and Graphene (Python) and Golang, streamlining data retrieval for front- end applications and reducing API calls by 15%.

• Developed real-time data caching solutions with Redis, improving application performance by 40% for high-traffic modules.

• Designed MongoDB schemas for microservices, enabling flexible data storage and retrieval for dynamic user data.

• Containerized applications using Docker and orchestrated with Kubernetes, ensuring seamless scaling and deployment across environments.

• Implemented integration testing using Unittest, reducing production bugs by 30% through robust test-driven development

(TDD) practices.

• Leveraged GCP services like Cloud Functions and BigQuery for serverless computing and large-scale data analytics, optimizing operational workflows.

• Developed modular, reusable UI components using React, TypeScript, and Tailwind CSS to support dynamic form generation with customizable field types, reducing development time and defects by 40%.

• Utilized Postman for API testing and documentation, ensuring clear communication of API functionalities to stakeholders.

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