About Me
I am Aditya Indana, a Computer Science student specializing in AI & ML, with hands-on experience in cloud platforms, DevOps workflows, and production-oriented web development.
View detailed resumeAditya Indana Portfolio
I am a
I enjoy solving difficult engineering problems, improving delivery speed, and building features that users can trust. My workflow blends clean architecture, observability, and pragmatic UI design.
I am Aditya Indana, a Computer Science student specializing in AI & ML, with hands-on experience in cloud platforms, DevOps workflows, and production-oriented web development.
View detailed resumeA scrolling road map of my growth, where each stop highlights a major internship and academic milestone.
Nov 2025 - Feb 2026
Built a weather-driven wind energy prediction system and coordinated delivery, documentation, and presentation.
Jul 2025 - Oct 2025
Customized Salesforce apps to match business workflows, improve usability, and accelerate internal operations.
May 2025 - Jul 2025
Implemented CI/CD with Jenkins, Docker, Terraform, and Kubernetes for reliable cloud-native releases.
May 2024 - Jul 2024
Automated EC2, S3, RDS, and IAM operations with Boto3 to reduce repetitive cloud management tasks.
Sep 2022 - Present
Strengthened foundations in algorithms, software engineering, and applied ML through consistent project work.
Interactive case studies focused on cloud architecture, AI workflows, and developer tooling.
2026
A comprehensive Django-based web application for heart disease risk prediction using federated learning principles. The platform enables hospitals to upload datasets and doctors to make patient-level predictions while maintaining data privacy through distributed model training.
Open repository
2026
This project focuses on predicting the energy output of wind turbines based on weather conditions using Machine Learning and Flask. Accurate energy prediction is crucial for renewable energy management, helping energy companies, wind farm operators, and grid operators make informed decisions.
Open repository
2026
File automation means using Python to automatically perform tasks on files instead of doing them manually.
Open repository
2025
AI-based violation detection pipeline using AWS Rekognition and number-plate processing with automated reports.
Open repository
2025
Real-time attendance workflow with Rekognition, S3, DynamoDB, and a streamlined Streamlit interface.
Open repository
2024
Reusable automation toolkit for provisioning and operating AWS services with policy-driven scripting.
Open repository
2024
Serverless API using Lambda, API Gateway, and AWS Comprehend for scalable sentiment scoring.
Open repository
2024
Web uploader to securely transfer files to S3 with restricted access and minimal operational complexity.
Open repository
2023
Desktop feedback management solution with Java Swing and MySQL for streamlined institutional workflows.
Open repositorySelected certifications validating cloud, programming, and AI foundations.
Open to full-time roles, internships, and project collaborations in cloud engineering and full stack development.