Rahulya Potla

About Rahulya Potla

I’m a software engineer with 4+ years of experience building backend systems and full-stack applications at fast-paced startups and product-driven companies. I have a Master’s in Computer Science from UNC Charlotte and a strong interest in distributed systems, cloud architecture, and simplifying complex workflows through clean, scalable code.In past roles, I’ve built data visualization tools for smart city platforms that helped urban planners across 15+ cities analyze parking patterns, contributing to infrastructure plans that generated over $500K in additional annual revenue through optimized curb space and demand-based pricing. On the backend, I contributed to enterprise-grade real estate and workplace management systems using Java, Spring Boot, and SQL including a service refactor that reduced API response latency by 40% and cut error rates in half. I worked in Agile teams, regularly participating in sprint planning, code reviews, and demos, and took ownership of end-to-end feature delivery across backend and frontend systems.At Joe Gibbs Human Performance Institute, I lead engineering for real-time motion capture pipelines used in sports science. I run technical spikes and POCs to guide internal tooling and architecture decisions, helping reduce trial turnaround time by over 60% and eliminating redundant manual effort across teams. I’ve built apps that automated data ingestion, managed configurations, and improved system reliability using AWS Lambda, Docker, and CloudWatch. I introduced Sentry for observability, cutting incident resolution time by over 50%, and set up internal dashboards to keep stakeholders informed. I’ve also mentored interns and junior developers, helping them ramp up quickly, reviewing code, and guiding design decisions, ensuring code quality and team alignment. This role has deepened my experience in event-driven architecture, fault-tolerant systems, Agile development, and building for high-throughput, low-latency scientific workflows.I’m open to backend, frontend, or full-stack roles where I can contribute to large-scale systems, take ownership, grow within a collaborative team, and help build products that drive real-world impact. Always happy to connect and chat.

Experience

1. Software Engineer

   Joe Gibbs Human Performance Institute

   Jan 2025 — Present · Charlotte, NC, US

   Designed and deployed event-driven data pipelines using AWS Lambda, S3, DynamoDB, and Docker, automating biomechanical data ingestion and processing for real-time sports analytics.• Built serverless architectures and optimized cold start performance, reducing data pipeline latency by 40% and enabling scalable processing of 3x more tracking data.• Implemented Infrastructure as Code (IaC) via Azure DevOps YAML pipelines, ensuring reproducible environments, faster provisioning, and consistent deployments.• Developed Python-based microservices for motion capture data transformation, integrating third party libraries and frameworks for kinematics and kinetics analysis.• Enhanced observability and monitoring with AWS CloudWatch and integrated Sentry for error tracking, improving system reliability to 99.95%.• Built 3D visualization tools for camera calibration and coverage mapping using React Three Fiber, TypeScript, and Flask backend APIs.• Applied container orchestration, CI/CD best practices, and cloud-native architecture patterns to support high-availability biomechanical data systems.AWS Lambda, S3, DynamoDB, Docker, serverless, event-driven architecture, Azure DevOps, Infrastructure as Code, YAML pipelines, Python, microservices, data pipelines, real-time analytics, CloudWatch, Sentry, observability, error tracking, React Three Fiber, TypeScript, Flask, 3D visualization, containerization, CI/CD, scalability, latency optimization, kinematics, biomechanics, sports analytics, high availability.

Education

• Jawaharlal Nehru Technological University

  Bachelor of Technology

• University of North Carolina at Charlotte

  Master's degree