# Indraneel Parthasarathy > Full-Stack Software Engineer | High-Availability Systems | Cloud-Native Applications at Scale Location: Hayward, California, United States Profile: https://flows.cv/indraneel Full-Stack Software Engineer with 3+ years building high availability Java and Spring backend services, Python based tooling, and React driven user interfaces for financial, e-commerce, and enterprise platforms, supporting 50K+ concurrent users in production. I specialize in end to end system ownership, designing secure APIs using OAuth2 and JWT, event driven microservices, and performant frontend applications, backed by CI/CD pipelines that reduced release cycles from 3 hours to under 25 minutes across AWS and azure cloud native systems. I also build pragmatic developer tools, including backend automation services that leverage LLM inference to reduce manual infrastructure and deployment effort. ## Work Experience ### Software Engineer @ SV Technologies INC Jan 2025 – Present | Illinois, United States Engineering financial and enterprise software solutions, secure APIs, payment systems, and full-stack platforms built for scale. Maintained and enhanced internal developer tooling built on Java/Spring Boot and React, resolving production defects and implementing improvements across backend services and UI components. Built and secured REST APIs using Java and OAuth 2.0, improving data management efficiency by 20%; implemented LinkedIn SSO to streamline user onboarding. Engineered a Project Management Platform using React, WebSockets, and REST APIs, improving client visibility into delivery milestones and reducing status update overhead by 40%. Integrated Stripe for subscription billing driving a 25% increase in paid subscriptions and improving payment processing reliability by 30%. ### Graduate Research Assistant @ California State University - East Bay Jan 2025 – Jan 2025 | Hayward, CA Architected a full-stack financial decision support application with React Native mobile frontend, Node.js REST API layer, and Python-based ML inference backend, delivering personalized financial recommendations to end users with sub-200ms response times. Fine-tuned a Math 7B large language model using LoRA (Low-Rank Adaptation), improving domain-specific financial reasoning accuracy by 40% and reducing hallucinations on quantitative prompts compared to the base model. ### Software Engineer @ Bounteous Jan 2021 – Jan 2023 | India Client: FTD (ftd.com) Architected the product catalog read service using Elasticsearch and Redis caching with Spring Boot, enabling fast, scalable product search and retrieval across thousands of SKUs on the ftd.com e-commerce platform. Built a CQRS-based Pricing Engine with React.js, Spring Boot, and MongoDB, implementing batch updates and rule engine processing to eliminate 20+ hours per week of manual catalog updates while ensuring pricing accuracy across thousands of products. Integrated inventory and payment service APIs using Google Cloud Pub/Sub for event-driven synchronization, ensuring real-time product availability and order consistency across distributed services. Implemented SEO optimizations including metadata enhancements and Core Web Vitals improvements, achieving a 35% faster page load time that boosted search rankings and organic conversions. Implemented monitoring and observability with AWS CloudWatch and Elasticsearch dashboards, reducing incident detection time and strengthening production resilience across enterprise applications. Secured enterprise APIs using Spring Security and OAuth 2.0, enforcing role-based access control across high-availability workflows serving internal operational teams. Client: Kroger Designed high-throughput REST APIs with Spring Boot and PostgreSQL powering order management for 50,000+ customers, supporting seasonal peaks and ensuring seamless retail operations. Optimized 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. ## Education ### Master of Science - MS in Computer Science California State University - East Bay ### Bachelor of Technology - BTech in Information Technology Rajalakshmi Engineering College ### High School St.Johns Sr. Sec. School & Junior College ## Contact & Social - LinkedIn: https://linkedin.com/in/indraneel-parthasarathy - Website: https://github.com/indraneel316 --- Source: https://flows.cv/indraneel JSON Resume: https://flows.cv/indraneel/resume.json Last updated: 2026-04-05