Siva Parimisetty

About Siva Parimisetty

Software Engineer with 5+ years of experience building, validating, and operating secure, backend-heavy, cloud-native platforms at scale. I come from a strong developer background and work at the intersection of platform engineering, distributed systems, and quality-driven design.I’ve designed and shipped API-first microservices, event-driven data pipelines, and containerized systems where correctness, performance, and security are non-negotiable. My day-to-day work includes building backend services, defining system contracts, integrating Kafka-based pipelines, deploying to Kubernetes, and ensuring services are observable, resilient, and production-ready.I’ve led the design of automation and validation frameworks not as “testing,” but as engineering guardrails — validating authentication flows, authorization logic, data integrity, failure modes, and system behavior across distributed services. I regularly debug complex production issues using logs, metrics, and traces, and partner closely with backend, DevOps, and product teams to drive reliable releases.Technically, I work hands-on with Java, Python, REST APIs, Kafka, Docker, Kubernetes, CI/CD pipelines, and public cloud (AWS & Azure). I’ve also integrated AI/ML components into backend systems, supporting data pipelines and inference services in production environments.I’m most interested in platform and backend roles where security, scale, and reliability matter especially in domains like authentication, risk-based systems, fraud prevention, and high-traffic internet-facing services.

Experience

1. Software Development Engineer Ai & Full Stack

   Northern Trust

   Mar 2024 — Present · Chicago, IL, US

   Improved backend service response time by 30% using optimized C++ algorithms.* Parallelized data processing with OpenMP, significantly increasing throughput and reducing server load.* Achieved a 50% performance improvement in image rendering by integrating CUDA for GPU acceleration.* Streamlined legacy system integrations with automated Fortran scripts, reducing manual errors by 40%.* Enhanced code quality and reduced deployment failures by 25% through Python-based automated testing in the CI/CD pipeline.* Optimized compilation processes with MLIR, resulting in faster build times and improved deployment efficiency.* Decreased AWS Lambda serverless function execution time by 20% using LLVM.* Improved processing capabilities and reduced costs by 15% by offloading compute-intensive tasks to GPU instances on AWS with OpenACC.* Optimized AWS resource allocation and achieved cost savings through performance benchmarking using Python scripts.* Reduced developer onboarding time by 35% and enhanced cross-team collaboration by developing comprehensive documentation for C++ APIs.* Ensured accurate system capability reflection in documentation through Fortran-based performance benchmarks for API endpoints.* Reduced manual effort and increased accuracy by implementing Python-based tools to automate API documentation generation.

Education

• Lewis University

  Master's degree, Computer Science

• Gudlavalleru Engineering College, Seshadri Rao Knowledge Village, Gudlavalleru, PIN-521356(CC-48)

  Bachelor's degree, Computer Science