Pavithra Namburi
Aubrey,TX
Summary
Experienced AI professional with over 2 years at HCL, specializing in Platform-as-a-Service (PaaS) solutions within cloud environments. Skilled in designing, deploying, and optimizing AI-driven cloud platforms, with a solid background in machine learning, data analytics, and cloud computing. Collaborative team player adept at delivering scalable and innovative solutions across functions, handling numerous projects at once while ensuring accuracy. Effective at prioritizing tasks and meeting deadlines, proactive and goal-oriented professional with excellent time management and problem-solving skills. Known for reliability and adaptability, with a swift capacity to learn and apply new skills, committed to leveraging these qualities to drive team success and contribute to organizational growth.
Overview
3
3
years of professional experience
1
1
Certification
Work History
Software Engineer – PaaS Cloud Services
HCL Technologies
01.2020 - 05.2023
- Designed and implemented scalable PaaS solutions on cloud platforms such as AWS, Azure, and Google Cloud Platform (GCP) to support AI-driven applications.
- Developed and deployed microservices and containerized applications using Docker and Kubernetes for efficient cloud resource management.
- Collaborated with AI/ML teams to integrate machine learning models into cloud-based platforms, ensuring seamless deployment and scalability.
- Automated cloud infrastructure provisioning and management using Terraform and Ansible, reducing deployment time by 30%.
- Monitored and optimized cloud performance, ensuring high availability and cost-efficiency for enterprise clients.
- Provided technical support and troubleshooting for PaaS-related issues, ensuring minimal downtime and improved customer satisfaction.
- Worked closely with DevOps teams to implement CI/CD pipelines, enabling faster and more reliable software delivery.
- Successfully migrated 10+ legacy applications to cloud-based PaaS platforms, improving scalability and reducing operational costs by 25%.
- Implemented AI-powered monitoring tools that reduced system downtime by 20%.
- Consistently met project deadlines by effectively managing time and prioritizing tasks according to importance.
- Analyzed proposed technical solutions based on customer requirements.
- Collaborated with cross-functional teams to ensure seamless integration of software components.
Education
Masters - Artificial Intelligence
University of North Texas
Denton, TX05.2025
Skills
- Skilled in Python development
- SQL
- AWS
- Experience with Azure cloud solutions
- Proficient in Google Cloud Platform
- Kubernetes management
- Big data technologies
- Data analysis
- Proficient in agile practices
Certification
- AWS Certified Solutions Architect – Associate
- Microsoft Azure Fundamentals (AZ-900)
- Google Cloud Professional Cloud Architect
Timeline
Software Engineer – PaaS Cloud Services
HCL Technologies
01.2020 - 05.2023
Masters - Artificial Intelligence
University of North Texas
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