Sai Kumar Garlapati

From Data to Action using AI/ML | Building Intelligent, Scalable Systems | Curious Engineer

Role
Project Intern at National Remote Sensing Centre, Isro
Location
Hyderabad, TG, IN
LinkedIn followers
500 followers
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About Sai Kumar Garlapati

I’m interested in how data turns into decisions—and how those decisions turn into real-world action.My focus is on building end-to-end systems using data, AI, and machine learning to extract insights, reason over them, and deploy solutions that operate reliably in practice.I approach technology as an explorer and investigator: questioning assumptions, breaking problems down to first principles, and rebuilding them into scalable software systems.My work spans data analysis, machine learning, and system design, often chaining them together to solve problems holistically rather than in isolation. Where necessary, I integrate supporting technologies such as cloud platforms or IoT components to ensure solutions are practical, scalable, and grounded in real-world constraints.Currently focused on building decision-driven AI systems and exploring opportunities at the intersection of research, engineering, and real-world impact.

Experience

  1. Project Intern

    National Remote Sensing Centre, Isro

    Jan 2026 — Present · Hyderabad, IN

    Working on a Physics-Informed Neural Network (PINN)–based model for Ocean–Sea Surface Flux Prediction as part of my B.Tech project.The work involves reverse engineering an existing PINN model to understand its architecture, physics constraints, loss formulation, and data–physics coupling mechanisms.Actively analyzing model behavior, assumptions, and limitations, followed by optimization efforts aimed at improving numerical stability, convergence behavior, and predictive reliability.In parallel, exploring potential extensions and alternative use cases of the model within oceanic and environmental systems, with a focus on physics-aware machine learning and scientific interpretability.The project emphasizes scientific ML reasoning, balancing data-driven learning with governing physical principles, and follows structured research and documentation workflows.

Education

  • Siddhartha Institute of Technology and Sciences

    Bachelor of Technology - BTech, Computer Science

  • Trividyaa Junior College

    Intermediate , Mpc

    2020 — 2022

  • Sri vignan school

    SSC

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