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H! I'm Jagadeesh
Software Engineer

I design and build robust backend systems that power modern applications. Specializing in microservices architecture, distributed systems, and enterprise-grade solutions with Java and Spring Boot.

Java Spring Boot Microservices Git

About

I'm a Software Engineer specializing in Java backend development with a passion for building scalable, resilient systems that handle mission-critical workloads. With of experience in implementing distributed microservices architectures, I focus on clean code, API design, and system reliability.

My expertise: microservices design patterns, API development with Spring Boot. I thrive on solving complex backend challenges and mentoring teams on best practices.

Jagadeesh Undavalli

Work Experience

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Software Engineer

Oct 2024 - Present

Persistent Systems Ltd

Hyderabad, Telangana, India

1 year 5 months

  • Working with US based client in BFSI domain.
  • Enabled new functionalities in existing applications enhancing cross application communication.
  • Maintained and upgraded Java, JAR versions to ensure compatibility and enhance application performance.
Java Spring Boot Junit Microservices Git Gradle SQL MongoDB Splunk

Student Intern

Jan 2024 - Sep 2024

Persistent Systems Ltd

Remote

9 months

  • Gained hands-on experience with key technologies, including JUnit, Maven, Spring, and Spring Boot
  • Familiarized with Scrum and Kanban practices, enhancing understanding of agile methodologies
  • Participated in internal hackathon, gaining insights into transforming ideas into functional working models
JUnit Maven Spring Spring Boot

Featured Work

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school

Student Dropout Prediction

Developed an intelligent machine learning system to help educational institutions predict and prevent student dropouts. Leveraged RandomForestClassifier to achieve superior accuracy in identifying at-risk students, enabling early intervention strategies. Deployed as a cloud-based application using Streamlit for real-time predictions.

Machine Learning Python Streamlit RandomForest
directions_car

Anonymous Vehicle Identification System

Built an automated parking management system combining OCR technology and pattern recognition to identify vehicles in real-time. Extracts registration numbers from images, cross-references with database, and implements intelligent fallback mechanisms for unrecognized vehicles with administrator notifications.

OCR Pattern Recognition Image Processing Python
View source code →
webhook

DhaanAPI

Created a versatile RESTful API framework using Flask that provides seamless database interaction capabilities. Offers efficient data retrieval, manipulation, and storage through well-designed endpoints. Deployed on cloud infrastructure to ensure high availability and scalability for diverse use cases.

Flask Python RESTful API Postgres

Let's Build Something

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