Sairam Arelly

Software Engineer

Hyderabad, Telangana, India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Proficient in AWS Cloud and Machine Learning technologies.
Experienced in deploying scalable web applications.
Strong background in data analysis and visualization.

Stackforce AI infers this person is a Cloud Computing and Data Science professional with a focus on scalable solutions.

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Skills

Core Skills

Cloud TechnologiesMachine LearningWeb Development

Other Skills

AWS CloudAWS CloudFormationAWS Elastic BeanstalkAWS LambdaAWS SageMakerAmazon DynamodbAmazon EBSAmazon EC2Amazon S3Amazon VPCAmazon Web Services (AWS)Analytical SkillsAngularJSApplied Machine LearningArtificial Intelligence (AI)

About

Hello, My name is Sairam Arelly Aspiring software professional and 2024 B.Tech graduate in Computer Science and Engineering, passionate about leveraging technology to solve real-world problems. I am seeking job opportunities as a Software Developer, Machine Learning Engineer, Cloud Engineer, Data Analytics Engineer, Full Stack Web Developer. Skills and Expertise: Programming Languages: Python, Java, SQL Web Development: HTML, CSS, JavaScript Cloud Technologies: AWS Cloud Open to exploring challenging roles in dynamic environments where I can grow and deliver impactful results. Connect with me to discuss exciting opportunities!

Experience

Infrabim techno solutions

Cloud Intern

Mar 2023 – Apr 2023 · 1 mo · Hyderabad, Telangana, India

Configured and managed Windows and Linux EC2 instances on AWS, improving virtual server setup and operational efficiency.
Deployed static websites from GitHub repositories to Windows and Linux EC2 instances, increasing deployment speed.
Uploaded files to Amazon S3, demonstrating proficiency in scalable cloud storage solutions with a 25% reduction in upload time.
Applied static website deployments to Amazon S3, optimizing web content hosting with decrease in load times.
Utilized SageMaker for machine learning tasks, contributing to 2 machine learning models and enhancing model training efficiency by 15%.

AWS CloudWindowsLinuxAmazon S3SageMakerCloud Technologies+1