Senior Full-Stack Software Engineer

Indraneel Parthasarathy

California, United States

+1-510-***-**** # ************@*****.*** ï linkedin.com/in/indraneel-parthasarathy § github.com/indraneel316 Summary

Full-stack Software Engineer with 3+ years of experience developing cloud-native microservices, real-time web apps, and LLM-powered platforms. Adept at designing performant APIs, automating deployments with AWS and Kubernetes, and optimizing backend systems that handle 50K+ concurrent sessions.

Professional Experience

PNC Sep 2024 – Current

Software Engineer California, United States

• Built authentication microservices (Java 11, Spring Boot, OAuth 2.0, JWT) that securely supported 50K+ concurrent sessions across enterprise banking apps, delivering high availability with zero downtime during peak loads.

• Delivered real-time online banking and transaction dashboards using React.js, Redux, and TypeScript, enabling instant balance visibility, faster account updates, and improved customer engagement.

• Enhanced systems processing 25K+ daily transactions by optimizing PostgreSQL queries and Kafka pipelines, improving response time and ensuring stability under regulatory requirements.

• Developed a fraud-detection service with Spring Boot, Kafka, and Redis that reduced false alerts by 45 %, increasing detection accuracy and improving investigator productivity in financial-crime prevention.

• Streamlined CI/CD pipelines with Jenkins, Docker, Kubernetes, and Terraform, cutting release cycles from 3 hours to 25 minutes while guaranteeing uninterrupted production operations. Bounteous Apr 2021 – Aug 2023

Software Engineer Remote

Client: ftd.com

• Improved Core Web Vitals by modernizing the ftd.com e-commerce platform with Angular and Spring Boot, achieving a 35 % faster page load time that boosted SEO rankings and conversions.

• Built a CQRS-based Pricing Engine with React.js, Spring Boot, and MongoDB, eliminating 20+ hours per week of manual catalog updates while ensuring accuracy across thousands of products.

• Implemented monitoring and observability with Azure App Insights and Elasticsearch dashboards, increasing system visibility, reducing incident detection time, and strengthening production resilience. Client: Kroger

• Designed high-throughput REST APIs with Spring Boot and PostgreSQL powering order management for millions of customers, supporting seasonal peaks and ensuring seamless retail operations.

• Improved database performance with SQL tuning, indexing, and Redis caching, reducing query response times by 50 % under high concurrency and improving reliability during high-volume events.

• Integrated Stripe and PayPal payment gateways with Spring Boot APIs, ensuring PCI-DSS compliance, reducing cart abandonment, and improving overall checkout reliability.

Technical Skills

Languages: Java, Python, C, C++, JavaScript, TypeScript, SQL Backend: Spring Boot, Spring Security, Hibernate, JPA, REST APIs, GraphQL, WebSockets, Microservices, Kafka, RabbitMQ Frontend: React.js, Angular, Next.js, Redux, Tailwind CSS, HTML, CSS Databases: PostgreSQL, MySQL, MongoDB, Redis, Cassandra Cloud & DevOps: AWS (EC2, S3, Lambda, RDS), Azure, Docker, Kubernetes, Terraform, Jenkins, Git Testing: JUnit, Mockito, Cypress, Selenium, Jest

Methodologies & Practices: Agile (Scrum, SDLC), Design Patterns, API Security, Code Standards, Logging (SLF4J), SonarQube Other: Pagination, Performance Optimization, Continuous Integration / Continuous Deployment Pipelines, Reactive Programming Education

California State University – East Bay Aug 2023 – May 2025 Master of Science in Computer Science, GPA: 3.9 Hayward, CA Coursework: Algorithms, OOD, Cloud Computing, Machine Learning, Operating Systems, System Design Projects

LLM-Driven AWS Code Automation System React, AWS Lambda, Llama 3.2

• Engineered an AI-powered automation platform that generated and deployed infrastructure code on AWS using LLM inference, cutting manual setup time by 50% and processing 1,000+ developer requests. AI-Powered Cooking Assistant React, AWS, OpenAI API, Computer Vision

• Created an AI cooking assistant that produced personalized recipes from food photos, serving 500+ users and achieving over 90% ingredient-match accuracy through image recognition and LLM reasoning. Employee Authentication System React, AWS Rekognition, Lambda, DynamoDB

• Built a serverless facial-recognition login system authenticating 1,100+ employees through AWS Rekognition and Lambda, achieving 95% validation accuracy and reducing login failures by 40%. Certifications

AWS Certified Solutions Architect – Associate

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