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Bhavana Naramaneni

Cloud Engineer • United States • n*******************@gmail.com • +12******730 • linkedin.com/••••• • drivetube.ai/•••••

Professional Summary

Master’s in Computer Science graduate from Governors State University with expertise in Python, FastAPI, Django, AWS, and CI/CD, building scalable applications.Improves performance and reduces costs through efficient APIs and cloud optimization

Technical Skills

Programming Languages: Python,JavaScript
Frontend Development: HTML,CSS,React.js,Bootstrap
Backend Development: Django,Flask,FastAPI,RESTful APIs
Cloud Platforms: AWS,EC2,S3,RDS,Lambda,IAM
DevOps & CI/CD: Docker,GitHub Actions
Databases: SQL,MySQL,MongoDB
AI/ML & Data: Pandas,NumPy,Scikit-learn
Tools & Technologies: Git,GitHub,Postman,VS Code

Work Experience

Solvency Software Solutions Private Limited
Khammam, India
Cloud Computing
Jun 2023 – Dec 2023
Software services firm specializing in cloud-native AWS solutions; role supported design, deployment, and optimization of scalable backend systems for diverse client applications.
  • Engineered AWS-based cloud applications by designing scalable architectures and optimizing resource utilization, reducing infrastructure costs by 25% while improving application scalability.
  • Developed RESTful APIs using FastAPI and Django to enhance backend functionality, optimize application performance, and reduce API response time by 30%.
  • Resolved system performance challenges by implementing AWS auto-scaling strategies and application tuning techniques, improving overall system efficiency by 35%
  • Collaborated with cross-functional teams to design, develop, and deploy reliable cloud-native solutions, ensuring timely delivery of production-ready applications.
  • Implemented automated CI/CD pipelines using Docker and GitHub Actions, streamlining deployment processes and reducing manual deployment efforts by 50%.

Projects

Cloud-Based AI Chatbot | Jan 2026 – Mar 2026
  • Built a scalable AI chatbot solution using Python, FastAPI, and AWS Lambda, reducing query response time by 35% and enhancing user interaction efficiency.
  • Created secure RESTful APIs with FastAPI and JWT authentication to enable reliable chatbot communication workflows, improving system reliability by 30%.
  • Configured cloud infrastructure and automated deployment workflows using AWS EC2, S3, IAM, Docker, and GitHub Actions CI/CD, increasing application availability and accelerating release cycles.
  • Optimized chatbot performance through comprehensive testing, debugging, and response tuning, improving system efficiency and overall response quality.
  • Integrated AI-driven conversational capabilities with Python-based automation and cloud services, delivering a scalable and maintainable chatbot platform.

Education

Governors State University
Master of Science in Computer Science • IL • Jan 2024 – Dec 2025

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