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I'm Keerthana Cirisenagola, a Full-Stack Software Engineer with 4+ years of experience building scalable distributed systems and modern web applications using Java, Spring Boot, React, TypeScript, Kafka, and AWS. I thrive on end-to-end ownership across frontend, microservices, and cloud deployments, delivering robust, low-latency platforms. I've built systems handling 8K+ TPS financial transactions and 100K+ daily AI queries, focusing on reliability, performance, and scalable architecture across enterprise workloads.…I'm Keerthana Cirisenagola, a Full-Stack Software Engineer with 4+ years of experience building scalable distributed systems and modern web applications using Java, Spring Boot, React, TypeScript, Kafka, and AWS. I thrive on end-to-end ownership across frontend, microservices, and cloud deployments, delivering robust, low-latency platforms. I've built systems handling 8K+ TPS financial transactions and 100K+ daily AI queries, focusing on reliability, performance, and scalable architecture across enterprise workloads.

Keerthana Cirisenagola

Back-End Developer, Full Stack Developer, Web Developer, +4

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I'm Keerthana Cirisenagola, a Full-Stack Software Engineer with 4+ years of experience building scalable distributed systems and modern web applications using Java, Spring Boot, React, TypeScript, Kafka, and AWS. I thrive on end-to-end ownership across frontend, microservices, and cloud deployments, delivering robust, low-latency platforms. I've built systems handling 8K+ TPS financial transactions and 100K+ daily AI queries, focusing on reliability, performance, and scalable architecture across enterprise workloads.…I'm Keerthana Cirisenagola, a Full-Stack Software Engineer with 4+ years of experience building scalable distributed systems and modern web applications using Java, Spring Boot, React, TypeScript, Kafka, and AWS. I thrive on end-to-end ownership across frontend, microservices, and cloud deployments, delivering robust, low-latency platforms. I've built systems handling 8K+ TPS financial transactions and 100K+ daily AI queries, focusing on reliability, performance, and scalable architecture across enterprise workloads.

Available to hire

I’m Keerthana Cirisenagola, a Full-Stack Software Engineer with 4+ years of experience building scalable distributed systems and modern web applications using Java, Spring Boot, React, TypeScript, Kafka, and AWS. I thrive on end-to-end ownership across frontend, microservices, and cloud deployments, delivering robust, low-latency platforms.

I’ve built systems handling 8K+ TPS financial transactions and 100K+ daily AI queries, focusing on reliability, performance, and scalable architecture across enterprise workloads.

Skills

Experience Level

Expert

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Expert

Intermediate

Language

Javanese

Advanced

English

Fluent

Work Experience

Software Engineer at S&P Global

May 1, 2025 - Present

Developed a full-stack AI research platform using React, Spring Boot, and AWS enabling analysts to query SEC filings through natural language search, improving research efficiency and reducing manual document analysis. Architected RAG pipelines integrating OpenAI models with FAISS vector search, improving answer relevance and reducing hallucinations by 20–25% during financial analysis queries. Designed distributed ingestion pipelines using Java, Spring Boot, AWS Glue, and S3 to process real-time financial filings and regulatory reports, reducing end-to-end data ingestion latency by 40% while improving system reliability. Engineered semantic search APIs using Spring Boot microservices and Redis caching layer to support low-latency enterprise search queries, achieving sub-200ms response times across large financial datasets. Built responsive React dashboards and UI components enabling analysts to explore financial insights, trends, and automated summaries, improving accessibility to co

Software Engineer at Accenture

October 1, 2020 - December 1, 2023

Constructed financial applications using Java Spring Boot backend services and Angular dashboards, enabling operations teams to monitor payment transaction flows through real-time analytics interfaces. Architected event-driven payment microservices using Kafka and Spring Boot, implementing idempotent message handling patterns to support 8,000+ TPS transactions with <120ms latency. Designed REST APIs integrating SQL databases and Redis caching layers, improving transaction throughput by 43% and reducing processing delays by 30% during peak load periods. Implemented secure API authentication and data protection mechanisms using JWT authentication, AES/TLS encryption, and OWASP-compliant validation, protecting sensitive banking transaction data. Containerized and deployed microservices using Docker and Kubernetes across AWS infrastructure, enabling zero-downtime deployments and improving platform availability to 99.9% during high-volume transaction periods. Developed operational dashboard