Sai Chaitanya Avadhanula
@saichaitanyaavadhanu
I build cloud-deployed applications and machine learning systems using Python, AWS, and DevOps tools.
IndiaWhat I'm looking for
I've built an AI system to predict laptop failures using Random Forest and Logistic Regression, supported by an interactive dashboard for prediction accuracy, system health metrics, and failure trends.
I use Python, Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn to preprocess data, engineer features, evaluate models, and improve prediction efficiency through scalable data handling.
Through AWS and DevOps internships, I've configured cloud infrastructure, managed virtual machines, implemented IAM-based access control, and worked with EC2, S3, Docker, Git, Jenkins, and Linux. I've also implemented CI/CD pipelines and deployment workflows for reliable application delivery.
I also developed ShopSmart, a responsive online grocery store with product browsing, cart management, secure authentication, API integration, validation, error handling, and testing.
Experience
Work history, roles, and key accomplishments
Certified in DevOps using AWS with understanding of CI/CD pipelines, infrastructure automation, and cloud deployment workflows. Worked with Docker, Git, Jenkins, Linux, and AWS services for deployment, monitoring, and infrastructure management.
Certified in AWS with hands-on knowledge of cloud computing, EC2, S3, IAM, and scalable cloud deployments. Configured cloud infrastructure, managed virtual machines, implemented secure access control, and optimized resource utilization.
Education
Degrees, certifications, and relevant coursework
Avanthi Institute of Engineering and Technology
Bachelor of Technology, Computer Science and Engineering
2022 -
Grade: 6.86 CGPA
Pursuing a B.Tech in Computer Science and Engineering with a CGPA of 6.86.
Sri Chaitanya Jr. College
Intermediate, Intermediate
2020 - 2022
Grade: 60.9%
Completed Intermediate education with a percentage of 60.9%.
D.A.V School
10th Standard, General
Grade: 74%
Completed 10th standard with a percentage of 74%.
Tech stack
Software and tools used professionally
Availability
Location
IndiaAuthorized to work in
Job categories
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