Summary
Overview
Work History
Education
Skills
Timeline
SoftwareEngineer

Yaswanth Kumar Putta

Denton,TX

Summary

Versatile and performance-focused Software Engineer with hands-on expertise in building scalable, cloud-native, and AI-powered systems across full-stack architectures. Proficient in React.js, Node.js, Python, TypeScript, Azure AI Services, and modern DevOps tooling including Docker, Kubernetes, and Terraform. Successfully led the development of automation pipelines and distributed systems that reduced processing times by 20%, tripled web traffic, and improved data reliability by 40%. Adept at integrating AI-driven solutions using Azure Machine Learning and Spark to deliver intelligent workflows and enhance scalability. Proven ability to accelerate development cycles, reduce manual efforts by 50%, and increase system observability through robust CI/CD and monitoring practices. Strong collaborator in Agile/Scrum environments with a focus on high-quality delivery, infrastructure optimization, and seamless user experiences. Committed to solving complex engineering problems through clean code, modular design, and end-to-end ownership.

Overview

5
5
years of professional experience

Work History

Software Engineer

Capgemini
09.2021 - 08.2023

Tech Stack: React.js, Node.js, Python, TypeScript, GraphQL, Azure AI Services, Azure Functions, Azure Machine Learning, Docker, Kubernetes, Terraform, Apache Spark, Distributed Systems, Agile/Scrum

  • Led the development of AI-powered automation pipelines using Azure AI Services and Azure Functions, boosting data processing speed by 20% and enhancing system scalability.
  • Tripled website traffic by implementing cross-browser compatibility and performance optimizations, resulting in higher SEO rankings and improved user retention.
  • Designed and deployed modular workflow automation solutions using Azure Machine Learning and custom AI artifacts, reducing manual intervention by 50% and accelerating delivery cycles.
  • Improved data reliability and integrity in large-scale distributed systems by 40% through robust automated test suites and fault-tolerant Spark jobs.
  • Containerized microservices with Docker and orchestrated deployments using Kubernetes, ensuring high availability and streamlined CI/CD across environments.
  • Defined and provisioned cloud infrastructure using Terraform, enabling consistent and scalable environments across development and production.
  • Collaborated with cross-functional teams in Agile/Scrum settings to drive full-stack feature development, system design, and continuous delivery.
  • Integrated GraphQL APIs for efficient data querying, reducing frontend-backend data transfer by 30% and improving client responsiveness.
  • Championed DevOps practices by implementing monitoring and logging solutions, improving system observability and reducing incident resolution time by 25%.

Software Engineer

Capgemini
01.2019 - 07.2021

Tech Stack: GoLang, Apache Spark, Python, SQL, RESTful APIs, React.js, Redux, AWS (EC2, S3, Lambda), Docker, Kubernetes, Distributed Data Processing, Postman

  • Engineered high-performance microservices in GoLang to process petabyte-scale datasets, increasing data throughput by 20% and supporting scalable analytics workloads.
  • Designed and optimized end-to-end data processing pipelines using Spark and Python, enhancing distributed computing efficiency and improving scalability by 30%.
  • Accelerated backend performance by 30% through efficient JSON parsing, database indexing, and SQL query optimization, resulting in faster data retrieval and improved API responsiveness.
  • Built interactive front-end dashboards using React.js and Redux to visualize complex data workflows, streamlining user operations and cutting processing times by 20%.
  • Developed and deployed RESTful APIs for data services, enabling seamless integration across microservices and external platforms.
  • Deployed containerized applications using Docker and managed orchestration with Kubernetes, ensuring reliability and high availability across production environments.
  • Utilized AWS services (EC2, S3, Lambda) to build scalable, event-driven architectures, reducing infrastructure overhead and improving system elasticity.
  • Conducted rigorous API testing and monitoring with Postman and custom scripts, increasing test coverage and catching 25% more integration bugs before release.
  • Collaborated with cross-functional teams in Agile environments to deliver data-intensive features with consistent sprint velocity and technical quality.

Education

Master of Science - Computer Science

Southern Arkansas University
Magnolia, AR
12-2024

Skills

  • GoLang
  • Python
  • Java
  • JavaScript
  • TypeScript
  • SQL
  • NoSQL
  • C
  • HTML5
  • CSS3
  • Spark
  • Nodejs
  • Reactjs
  • Redux
  • GraphQL
  • Angular
  • Langchain
  • MaterialUI
  • Expressjs
  • Azure AI Services
  • Microservices Architecture
  • AWS (EC2, S3, Lambda, CloudWatch)
  • Azure AI Artifacts
  • Azure AI Integrations
  • Docker
  • Kubernetes
  • Terraform
  • GRPC
  • Redis
  • ElasticSearch
  • WebRTC
  • Jenkins
  • Git
  • Postman
  • Ubuntu
  • Linux
  • JIRA
  • Puppet
  • Figma
  • Unix
  • Jupyter
  • AWS CloudWatch
  • Azure DevOps
  • Atlassian Suite (Jira, Confluence, Bitbucket)
  • CI/CD Pipelines
  • Load Testing
  • Distributed Data Processing Tools

Timeline

Software Engineer

Capgemini
09.2021 - 08.2023

Software Engineer

Capgemini
01.2019 - 07.2021

Master of Science - Computer Science

Southern Arkansas University
Yaswanth Kumar Putta