Hello, I'm
Sai Surya Rebbapragada
Full Stack Web DeveloperFront End Developer Generative AI EngineerBackend Systems ArchitectDevOps Engineer

I'm a full-stack developer with 3 years working experience at high velocity fintech startups. I specialize in building robust, scalable web applications and websites. I have a deep passion for product design and development, and I consistently use a user-centric approach to drive innovation and streamline user experiences. I am currently looking for new opportunities to work on exciting projects.

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Projects

GCP Infrastructure Automation
TerraformGoogle Cloud PlatformPacker+3

GCP Infrastructure Automation

Utilized Terraform for infrastructure provisioning and Packer for GCP machine image creation, enhancing system reliability.

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LearnLab - Interactive Learning Platform
PythonFastAPINext.js+5

LearnLab - AI-Powered Learning Platform

Developed an AI-powered learning platform that transforms PDF documents into interactive content including podcasts, flashcards, and quizzes using Multi Agentic architecture and multi-agent systems.

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HPC Lane Detection Research
PyTorchDistributed ComputingDeep Learning+4

High-Performance Computing for Lane Detection

Researched and implemented optimized lane detection for autonomous driving using high-performance computing techniques, with detailed parallel efficiency analysis and scaling across multiple CPUs and GPUs.

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Multi-Modal RAG System
PythonLangChainLangGraph+5

Multi-Modal RAG System with Agentic Architectures

Designed and implemented a sophisticated multi-modal RAG system with specialized agents for processing diverse document formats, extracting text, images, and tables to enhance information retrieval and generation capabilities.

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Predictive Analytics for Bike Sharing Demand
Pythonscikit-learnSeaborn+2

Predictive Analytics for Bike Sharing Demand

Developed a predictive model on Bike Sharing dataset, achieving 90% accuracy in demand prediction with Random Forest.

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MCP Web Tools Server and Client
PythonModel Context ProtocolFastAPI+4

MCP Web Tools Server and Client

Developed a Model Context Protocol (MCP) server and client system that enables language models to interact with web content through standardized tools for web scraping, search, and content extraction.

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