Naga Venkata Shravan Proddatur

Software Engineer Intern

Bengaluru, IN.
Portfolio

About

Dedicated Computer Science graduate with a strong foundation in software development, cloud technologies, and database management. Proficient in Java, Python, and AWS, with hands-on experience in developing scalable applications and API integrations. Eager to contribute to a dynamic team and apply my problem-solving skills in a collaborative environment.

Work

Heinwig Technologies Pvt. Ltd

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Software Engineer Intern

Summary

With hands-on experience in Software development, within an R&D environment following Agile principles.

Highlights

Prototyped and deployed GitLab CE using Docker for internal CI/CD pipelines; contributed to DevOps research and infrastructure improvements.

Built backend APIs in Node.js/Express.js for login management systems, and developed PWAs using Electron for cross-platform support.

Executed manual and automated test cases that were developed using Playwright.

Developed responsive UIs using ReactJS and NextJS (Server Components); integrated Three.js for 3D Earth Globe visualization with external APIs.

Education

M.S. Engineering College, Bengaluru

Bachelors Bachelor of Engineering (CSE) Grade: 8.73/10

Skills

Tools

Git, Docker, Postman, Hibernate, JPA, JDBC, Tailwind CSS.

Web Technologies

HTML5, CSS3, JavaScript, React, NodeJs.

Databases

MySQL, PostgreSQL, H2.

Others

GNU/Linux, AWS, CI/CD, SpringBoot.

Programming Languages

Python, Java, SQL.

Projects

Plant Recognition and Gardening Support System

Summary

Tools: Python, FastAPI, ML, YOLOv8, Docker, AWS, REST

E-Commerce Database Management System

Summary

Tools: HTML, CSS, Bootstrap, PHP, SQL

Task Management System

Summary

Tools: Java, Spring Boot, Hibernate, H2, JPA, Git, Maven

Languages

Telugu

Native

English

Proficient

Kannada

Basic

Hindi

Fluent

Certificates

Certification Program in AWS Cloud Practitioner

Edubridge

Getting Started with Web Development by SAP

SAP

Publications

Plant Recognition Using CNN and Gardening Support System Using IoT

IJIRT

This project introduces an innovative solution designed to revolutionize plant identification and optimize growth conditions for both gardening and agricultural applications. By harnessing cutting-edge image recognition algorithms, our system accurately identifies a wide array of plant species while furnishing detailed insights including scientific nomenclature, common pests, and associated diseases. Furthermore, it delivers personalized recommendations tailored to individual growth needs, factoring in crucial environmental variables like temperature, humidity, and sunlight exposure. Through empowering users with bespoke guidance, our system endeavors to elevate crop success rates, drive agricultural efficiency, and champion sustainability in plant cultivation practices. This endeavor marks a significant stride in plant care technology, furnishing an indispensable tool for gardening enthusiasts and industry professionals alike to achieve thriving and bountiful plant growth. Cutting-edge technology, bespoke guidance, and sustainability lie at the heart of this transformative project.