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Indra Sai Ragam

Indra Sai Ragam

Software Engineer with production experience building scalable backend systems, Python services, REST APIs, and cloud-native applications

Talent
BengaluruMember since July 6, 2026
PythonFastAPIReactREST APIsMicroservicesPostgreSQLSQLMongoDBGCPDockerCI/CDRAGGANsPyTorchCAgentic AiNlpMachine LearningAiDeep LearningHtmlCssReact.jsNext.jsFlaskNode.jsJavascriptApi Developer
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PythonFastAPIReactREST APIsMicroservices

About

Software Engineer with production experience building scalable backend systems, Python services, REST APIs, and cloud-native applications. Experienced in developing reliable software, automation tools, and AI-powered applications using modern engineering practices. Strong foundation in data structures, distributed systems, Linux, and DevOps with a passion for building high-quality software that scales.

Experience

Platform Development Intern at Rakuten Symphony (Altiostar) (2026-02 – Present)

  • Owned development of Python-based automation and CLI tooling that streamlined large-scale telecom platform workflows end-to-end.
  • Built scalable backend services enabling real-time monitoring through high-concurrency WebSocket communication to a status dashboard, improving observability for production systems.
  • Optimized Precision Time Protocol (PTP) and timestamp correction logic for high-accuracy 5G synchronization.

Member of Technical Staff – Intern at Starten Systems India Pvt. Ltd. (2025-07 – 2026-02)

  • Designed and shipped a custom DHCP assignment service end-to-end (API, data model, deployment) using Python and Linux automation daemons.
  • Deployed Dockerized microservices and built automated CI/CD pipelines, improving release reliability and reducing manual deployment effort.
  • Implemented asynchronous networking logic and TCP/IP packet analysis to support high-concurrency production traffic.

Summer Research Intern at Indian Institute of Information Technology (IIITDM) (2025-05 – 2025-07)

  • Built scalable Python data-processing pipelines for large, high-dimensional sensor datasets.
  • Designed and optimized deep learning inference workflows for efficient model prediction in production-like settings.
  • Ran structured experimentation cycles to evaluate and improve model performance.

Education

B.Tech. in Computer Science – Rajiv Gandhi University of Knowledge Technologies (2022 – 2026)

Pre-University Course – Rajiv Gandhi University of Knowledge Technologies (2020 – 2022)

Matriculation – Mandapeta Public School (2019 – 2020)

Skills

Python servicesREST APIsand cloud-native applications

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