Palak Agrawal
Noida
Summary
Senior Software Engineer experienced in designing and developing scalable backend applications with Java, Spring Boot, and Microservices. Delivered high-throughput event-driven applications that managed millions of healthcare transactions, enhancing scalability and performance. Leveraged AI-assisted workflows and intelligent automation to accelerate software delivery while addressing complex engineering challenges.
Overview
1
1
Certification
5
5
years of professional experience
Work History
Senior Software Engineer
Optum Global Sol. Pvt. Ltd.
Noida
11.2021 - Current
- Designed and developed scalable backend microservices using Java, Spring Boot, and Kafka for enterprise healthcare reconciliation systems.
- Architected event-driven distributed applications for processing payments, invoices, eligibility, and member data across multiple services.
- Developed high-performance Kafka producers and consumers capable of processing 8,000–9,000 messages per second, ensuring reliable and near real-time data synchronization.
- Developed secure RESTful APIs with OAuth2 authentication, enabling seamless enterprise integrations.
- Optimized Oracle SQL queries, indexing strategies, and PL/SQL procedures, improving backend performance by 94%.
- Implemented Oracle partitioning and parallel processing techniques, improving batch execution efficiency by 80% for large-scale datasets.
- Designed asynchronous processing pipelines using Kafka and RabbitMQ for high-volume financial transaction processing.
- Migrated legacy applications from Java 8 and Spring Batch to Java 17/21 with Spring Boot microservices, enhancing maintainability, scalability, and security.
- Streamed millions of database records through Kafka producers to downstream applications, improving data availability by 75%.
- Worked on Kubernetes deployments, CI/CD pipelines, and production support for cloud-native applications.
- Collaborated with cross-functional teams to deliver critical business features, ensuring high availability and reliability across applications.
- Mentored junior engineers, conducted code reviews, and promoted engineering best practices.
- Leveraged AI-assisted development tools to accelerate software development, debugging, documentation, and code reviews.
- Utilized LLM-powered workflows for engineering productivity, solution exploration, and knowledge discovery.
- Contributed to intelligent workflow automation initiatives within enterprise healthcare platforms.
- Worked with prompt engineering techniques to improve AI-generated outputs for software development and documentation.
- Supported AI-enabled reconciliation insights and anomaly detection capabilities integrated into business workflows.
Software Engineering Associate
Amdocs Pvt. Ltd.
Pune
07.2021 - 11.2021
- Enhanced telecom product functionalities to increase user satisfaction.
- Executed testing and debugging processes to resolve production issues efficiently.
- Collaborated with development teams to elevate application quality and reliability.
Education
B. Tech - Computer Science
DIT University
Dehradun06-2021
Skills
Languages
- Java (8, 17, 21)
- SQL
- PL/SQL
- TypeScript
- HTML
- CSS
- Python
Backend
- Spring Boot
- Spring MVC
- Spring Data JPA
- Hibernate
- Spring Batch
- RESTful API Development
- Microservices
- Apache Kafka
- RabbitMQ
Cloud & DevOps
- Kubernetes
- Docker
- Jenkins
- Git
- CI/CD
- GCP
AI & Intelligent Automation
- AI-assisted Software Development
- LLM-powered Development Workflows
- Prompt Engineering
Computer Science
- Data Structures
- Algorithms
- Object-Oriented Design
- Design Patterns
- Multithreading
- Project Planning & Designing
Certification
- Stanford University (Coursera) - Divide and Conquer, Sorting and Searching, and Randomized Algorithms
- Stanford University (Coursera) - Graph Search, Shortest Paths, and Data Structures
Affiliations
- Solved 200+ Data Structures & Algorithms problems across LeetCode, GeeksforGeeks, and HackerRank.
KEY ACHIEVEMENTS
- Improved backend performance by 94% through Oracle query optimization, indexing, and PL/SQL enhancements.
- Increased streaming throughput by 75% using Kafka-based data pipelines.
- Enhanced batch processing efficiency by 80% using Oracle partitioning and parallel execution.
- Built Kafka consumers capable of processing 9K messages/second.
- Reduced manual operational effort by 99% through automation.
- Mentored junior developers, reducing debugging effort by 30%.
Timeline
Senior Software Engineer
Optum Global Sol. Pvt. Ltd.
11.2021 - Current
Software Engineering Associate
Amdocs Pvt. Ltd.
07.2021 - 11.2021
B. Tech - Computer Science
DIT University