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Hemanjalee chakravarthy ChakravarthyHC
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Hemanjalee chakravarthy Chakravarthy

@hemanjaleechakravart

Entry-level DevOps and cloud-focused engineer building reliable ML-driven and infrastructure-first solutions.

India
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What I'm looking for

I’m looking for a challenging role where I can work with cloud and DevOps automation, contribute to ML or data-driven features, and grow through strong engineering mentorship and real production impact.

I’m an entry-level computer science professional focused on cloud computing, DevOps, and practical automation. I aim to deliver dependable systems that solve real problems, from application deployment to secure data access and scalable infrastructure.

My core project, “Water Potability Prediction Using ML,” uses a Random Forest Algorithm to classify water as potable or non-potable based on quality parameters like pH, Hardness, and Solids. I value outcomes that protect people and improve decision-making through trustworthy models.

I also build hands-on cloud infrastructure with projects centered on CI/CD and automation. I’ve worked on automated deployment pipelines (DevOps), AWS multi-region access patterns with S3, cross-region static website hosting, and instance auto start/auto stop using AWS Lambda.

Beyond delivery, I focus on modern tooling and disciplined engineering practices. I’m trained with AWS Academy and Azure Fundamentals and strengthened through AI/Cloud internships, including AI-ML virtual internship and cloud virtual internship—bringing both breadth and execution-ready skills.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

DT

Dadi Institute of Engineering and Technology

Bachelor of Technology, Computer Science & Engineering

Grade: 8.18 (CGPA)

Activities and societies: Projects: Water Potability Prediction Using ML (Random Forest); Automated Deployment Pipelines (DevOps) on GitHub; AWS S3 multi-region access and cross-region S3 static website; Lambda-based auto start/stop of instances.

Pursuing a B.Tech in Computer Science & Engineering at Dadi Institute of Engineering and Technology (JNTUGV), with a CGPA of 8.18. Completed ML and DevOps projects including water potability prediction and automated deployment pipelines.

SC

Sri Gayatri Junior College

Intermediate, Mathematics, Physics and Chemistry

Grade: 89.3%

Completed intermediate studies with a focus on Mathematics, Physics, and Chemistry (BIEAP) in 2021.

TS

The Presidential School

Secondary School, CBSE

Grade: 85.4%

Completed secondary education under CBSE in 2019 with 85.4%.

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