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DHANUSH PATEL Y P

Junior · Engineering

Detail-oriented software engineer with experience in backend development and a strong foundation in various programming languages and frameworks. Proven ability to improve application performance and enhance user experience through collaborative work in agile teams.

Junior Resume Verified GitHub Connected Social Verified

Profile updated 3 months ago

Most Recent Role

Software Development Engineer Intern

Zebra Technologies

Jan 2023 – July 2023

Education

B.Tech in Computer Science And Engineering

PES University

GPA 7.25

Skills & Technologies

21 detected

Languages

Python
Python
JavaScript
JavaScript
TypeScript
TypeScript
Java
Java
C
C
SSQL
HHTML5
CCSS3

Frameworks & Libraries

RReact.js
Node.js
Node.js
Express.js
Express.js
SSpring Boot
PPandas
NNumPy

Tools & Platforms

MongoDB
MongoDB
PostgreSQL
PostgreSQL
MySQL
MySQL
Git
Git
Postman
Postman
Linux
Linux

Other

MMatplotlib

Work Experience

Z

Software Development Engineer Intern

Jan 2023 – July 2023

Zebra Technologies

  • Developed and enhanced backend features for web applications using Java and SQL.
  • Built and optimized database queries to support sophisticated dashboards and reporting features.
  • Improved application performance by streamlining backend logic and reducing page load times.
  • Collaborated with cross-functional teams in an agile environment to deliver software solutions.
  • Contributed to improved customer engagement and retention through performance enhancements.

Education

2019 – 2023

PES University

B.Tech in Computer Science And Engineering

7.25

GPA

21

Skills

1

Experiences

Projects

3 built

TestMe

  • Accomplished role-based login with 100+ users and enabled admins to manage assessments.
Java
Java
Spring BootReactJS
MySQL
MySQL
Material UI
Material UI

Finance Backend System

  • Built a finance backend system with secure CRUD APIs and JWT-based secure authentication.
Node.js
Node.js
Express
Express
MongoDB
MongoDB

RetroFaultFind

  • Developed a real-time anomaly detection system using ensemble models with 99% accuracy.
LSTMBERTCNN

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