Java Spring Microservices Full-Stack Developer

Leena Ramesh Virutkar

Java Full Stack Developer ************@*****.*** +91-798******* LinkedIn SUMMARY

Java Full Stack Developer with 4+ years of experience in building scalable enterprise applications using Java, Spring Boot, Microservices, REST APIs, PostgreSQL, React.js. Skilled in developing secure, production-grade systems with Spring Security, JWT Authentication, LDAP Authentication, RBAC/ABAC, centralized input sanitization, and VAPT remediation. Experienced in Batch processing, Third-party API integrations, Resilience4j, workflow automation, Elasticsearch implementation, Docker-based setup, and database optimization for high-volume systems handling 5+ lakh records. TECHNICAL SKILLS

-Backend: Java, Collections, Stream API, Multithreading, Spring Boot, Spring MVC, REST APIs, Hibernate, JPA

-Frontend: React.js, JavaScript, Thymeleaf, HTML, CSS, Bootstrap, jQuery

-Databases, Search & Big Data: PostgreSQL, MySQL, Oracle, SQL Server, Elasticsearch,Hadoop, HDFS, MapReduce, Hive, Spark

-Security: Spring Security, JWT Authentication, LDAP Authentication, RBAC, ABAC, Input Sanitization, VAPT Remediation

-Architecture: Microservices Architecture, SOLID Principles, Design Patterns

-Cloud & DevOps: Kafka, Docker, Docker Compose, Linux, AWS Fundamentals, CI/CD Fundamentals

-Tools: Git, Maven, Postman, Swagger/OpenAPI, IntelliJ IDEA, Eclipse, VS Code WORK EXPERIENCE

Project Engineer (Software Development) CDAC Delhi New Delhi, India July 2022 – Present 1. Digital Census of India – Printing and Logistics

-Tech: Java, Spring Boot, Microservices, React.js, PostgreSQL, Resilience4j

-Developed scalable Spring Boot Microservices and REST APIs for printing lifecycle management, dispatch tracking, and return logistics workflows, handling 5+ lakh records.

-Integrated India Post APIs for shipment tracking and real-time delivery status monitoring.

-Engineered batch processing pipelines and scheduled jobs with retry mechanisms for high-volume shipment tracking data synchronization.

-Implemented Resilience4j Retry and Circuit Breaker patterns to ensure fault-tolerant communication with external APIs during failures and latency issues.

-Designed role-based workflows, multi-stage approvals, audit logging, dynamic filtering, and optimized PostgreSQL queries to improve performance, security, and traceability.

2. Threat Advisory Management System

-Tech: Java, Spring Boot, Spring Security, LDAP Authentication, RBAC, ABAC, Spring AI, JPA, Hibernate, PostgreSQL, Thymeleaf, JavaScript

-Took end-to-end full-stack ownership of advisory lifecycle workflows, including creation, forwarding, tracking, closure, and role-wise access management.

-Built an IMAP-based email processing service to fetch, sanitize, and extract threat metadata such as TLP, risk, and priority for structured advisory creation.

-Integrated Spring AI with Mistral LLM to automate threat intelligence extraction, including impact analysis, risk assessment, priority classification, and recommended actions.

-Integrated LDAP authentication with Spring Security and implemented RBAC/ABAC-based access control for secure advisory visibility and workflow permissions.

-Automated notifications, PDF action reports, audit trails, and role-wise activity logs for advisory forwarding, pending actions, and compliance tracking.

-Implemented centralized input sanitization and secure coding practices to mitigate XSS/injection risks, resolve VAPT-reported vulnerabilities, and enhance application security controls. 3. E-Waste Management System (CPCB)

-Developed backend modules for stakeholder registration, compliance monitoring, and EPR authorization workflows.

-Integrated PayU payment gateway with secure transaction lifecycle handling, S2S callbacks, and payment verification APIs.

-Implemented SHA-512 hash validation, reconciliation workflows, and automated post-payment processing using Spring Boot transaction management.

4. E-Library Management System - Chief Library of Assam

-Containerized Elasticsearch with Docker and integrated it with Spring Boot to implement fast full-text search, filtering, and categorization of digital library records.

-Developed document/book management workflows with record tracking, reporting, PDF/Excel export, and QR code generation. AI & DATA ANALYTICS PROJECT

Sentiment Analysis and Topic Modeling of Amazon Alexa Reviews

-Tech: Python, NLP, VADER, LDA, spaCy, Pandas

-Analyzed 3,150 Amazon Alexa reviews using NLP-based preprocessing and sentiment analysis.

-Applied VADER and LDA to identify customer sentiment and key feedback topics, achieving 89.73% accuracy.. EDUCATION

-PG Diploma in Big Data Analytics (PG-DBDA) CDAC Sept 2021 - April 2022 Grade: A

-Bachelor of Engineering (CSE) Amravati University, Maharashtra June 2019 CGPA: 6.93 CERTIFICATIONS AND ACTIVITIES

Java Certification from Sunbeam Pune HackerRank SQL Basic & Intermediate

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