Java Developer Spring Boot

Java Developer Anasuya Singaram

+1-413-***-**** ***************@*****.*** linkedin.com/in/anasuya-singaram-5b710b234/

Professional Summary

Java Developer with 3+ years of experience in developing, testing, and deploying enterprise-level web applications using Java, Spring Boot, and Python.

Skilled in backend development, RESTful API design, and integrating microservices using Java 17/21 and Python (Flask, Fast API).

Hands-on experience with relational databases (MySQL,PostgreSQL) and NoSQL (MongoDB), along with ORM tools like Hibernate.

Proficient in CI/CD pipelines, containerization using Docker, and deployments on AWS and Azure cloud platforms.

Collaborative team player with a strong understanding of Agile methodologies and cross-functional team coordination.

Education

Clark University, 950 Main Street, Worcester, Massachusetts

Master of Science in Computer science August 2023 – May 2025

Ellenki Institution of Engineering and Technology, Hyderabad, India

Bachelor of Engineering in Electronics and Communication June 2019 – May 2022

VNR Vignana Jyothi Engineering and Technology, Hyderabad, India

Diploma in Electronics and Communication June 2016 – May 2019

Professional Experience

Client: Samsung USA. Feb2024 – Present

Role: Java Developer

Project Overview:

Developed a scalable manufacturing data services platform for Samsung’s production units to manage component tracking, quality control, and device assembly metrics. The platform supports internal factory systems and integrates with global reporting dashboards.

Responsibilities:

Built backend microservices using Java 17 and Spring Boot to manage equipment logs, production orders, and quality assurance events.

Developed and exposed RESTful APIs for part lifecycle tracking, work order processing, and defect management.

Integrated Kafka for real-time streaming of sensor and test station data from manufacturing lines.

Used Spring Security with JWT to manage role-based access for factory supervisors and engineers.

Created Python scripts to automate batch analysis of test data and generate performance reports.

Deployed containerized services on AWS ECS, using S3 for storing batch reports and test logs.

Collaborated with cross-functional teams during Agile ceremonies and participated in code reviews and design refinements.

Client: Syrma SGS Technology Pvt Ltd. India. Mar 2021 – Mar 2023

Role: Software Engineer (Java + Python)

Project Overview:

Built an end-to-end manufacturing analytics platform to consolidate data from assembly lines, machine sensors, and inventory systems for real-time monitoring, quality tracking, and predictive maintenance.

Responsibilities:

Developed RESTful APIs using Spring Boot to capture machine telemetry and production data from PLCs and SCADA systems.

Created Python ETL scripts for cleansing and normalizing raw IoT data before ingesting into MongoDB and PostgreSQL.

Engineered backend modules for dashboards to monitor downtime, yield rates, and throughput metrics.

Integrated Java-based APIs with Angular frontend to support plant-level reporting and alert generation.

Designed unit test suites using JUnit and PyTest to validate business logic across Java and Python components.

Deployed microservices on Azure App Services and configured alerts and performance monitoring using Azure Monitor and Log Analytics.

Technical Skills

Languages: Java 8–21, Python, SQL, Bash

Frameworks: Spring Boot, Hibernate, Flask, FastAPI

Web Technologies:HTML5, CSS3, JavaScript, REST, JSON

Databases: MySQL, PostgreSQL, MongoDB

Tools & Platforms: Git, Jenkins, Docker, Kubernetes, AWS, Azure, IntelliJ, Postman

CI/CD & DevOps: Maven, Gradle, GitHub Actions, Jenkins, Docker Compose

Academic Projects

Teaching Assistant Application Portal

Developed a Full-stack web application to automate the TA application process, including job postings, candidate registration, evaluation, and course assignment.

IOT-Based Greenhouse Monitoring System with Controlling Parameters

Developed a Python-based system to monitor and adjust environmental parameters such as temperature, humidity, and soil moisture for efficient plant care.

Face Recognition and Attendance Management System

Created a face recognition software for automating attendance, with accurate detection and streamlined data handling.

Air Pollution Monitoring System

Designed a system to measure and report air quality metrics using sensors, contributing to environmental awareness.

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